---
_id: '12723'
abstract:
- lang: eng
  text: 'Lead halide perovskites enjoy a number of remarkable optoelectronic properties.
    To explain their origin, it is necessary to study how electromagnetic fields interact
    with these systems. We address this problem here by studying two classical quantities:
    Faraday rotation and the complex refractive index in a paradigmatic perovskite
    CH3NH3PbBr3 in a broad wavelength range. We find that the minimal coupling of
    electromagnetic fields to the k⋅p Hamiltonian is insufficient to describe the
    observed data even on the qualitative level. To amend this, we demonstrate that
    there exists a relevant atomic-level coupling between electromagnetic fields and
    the spin degree of freedom. This spin-electric coupling allows for quantitative
    description of a number of previous as well as present experimental data. In particular,
    we use it here to show that the Faraday effect in lead halide perovskites is dominated
    by the Zeeman splitting of the energy levels and has a substantial beyond-Becquerel
    contribution. Finally, we present general symmetry-based phenomenological arguments
    that in the low-energy limit our effective model includes all basis coupling terms
    to the electromagnetic field in the linear order.'
article_number: '106901'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Artem
  full_name: Volosniev, Artem
  id: 37D278BC-F248-11E8-B48F-1D18A9856A87
  last_name: Volosniev
  orcid: 0000-0003-0393-5525
- first_name: Abhishek
  full_name: Shiva Kumar, Abhishek
  id: 5e9a6931-eb97-11eb-a6c2-e96f7058d77a
  last_name: Shiva Kumar
- first_name: Dusan
  full_name: Lorenc, Dusan
  id: 40D8A3E6-F248-11E8-B48F-1D18A9856A87
  last_name: Lorenc
- first_name: Younes
  full_name: Ashourishokri, Younes
  id: e32c111f-f6e0-11ea-865d-eb955baea334
  last_name: Ashourishokri
- first_name: Ayan A.
  full_name: Zhumekenov, Ayan A.
  last_name: Zhumekenov
- first_name: Osman M.
  full_name: Bakr, Osman M.
  last_name: Bakr
- first_name: Mikhail
  full_name: Lemeshko, Mikhail
  id: 37CB05FA-F248-11E8-B48F-1D18A9856A87
  last_name: Lemeshko
  orcid: 0000-0002-6990-7802
- first_name: Zhanybek
  full_name: Alpichshev, Zhanybek
  id: 45E67A2A-F248-11E8-B48F-1D18A9856A87
  last_name: Alpichshev
  orcid: 0000-0002-7183-5203
citation:
  ama: Volosniev A, Shiva Kumar A, Lorenc D, et al. Spin-electric coupling in lead
    halide perovskites. <i>Physical Review Letters</i>. 2023;130(10). doi:<a href="https://doi.org/10.1103/physrevlett.130.106901">10.1103/physrevlett.130.106901</a>
  apa: Volosniev, A., Shiva Kumar, A., Lorenc, D., Ashourishokri, Y., Zhumekenov,
    A. A., Bakr, O. M., … Alpichshev, Z. (2023). Spin-electric coupling in lead halide
    perovskites. <i>Physical Review Letters</i>. American Physical Society. <a href="https://doi.org/10.1103/physrevlett.130.106901">https://doi.org/10.1103/physrevlett.130.106901</a>
  chicago: Volosniev, Artem, Abhishek Shiva Kumar, Dusan Lorenc, Younes Ashourishokri,
    Ayan A. Zhumekenov, Osman M. Bakr, Mikhail Lemeshko, and Zhanybek Alpichshev.
    “Spin-Electric Coupling in Lead Halide Perovskites.” <i>Physical Review Letters</i>.
    American Physical Society, 2023. <a href="https://doi.org/10.1103/physrevlett.130.106901">https://doi.org/10.1103/physrevlett.130.106901</a>.
  ieee: A. Volosniev <i>et al.</i>, “Spin-electric coupling in lead halide perovskites,”
    <i>Physical Review Letters</i>, vol. 130, no. 10. American Physical Society, 2023.
  ista: Volosniev A, Shiva Kumar A, Lorenc D, Ashourishokri Y, Zhumekenov AA, Bakr
    OM, Lemeshko M, Alpichshev Z. 2023. Spin-electric coupling in lead halide perovskites.
    Physical Review Letters. 130(10), 106901.
  mla: Volosniev, Artem, et al. “Spin-Electric Coupling in Lead Halide Perovskites.”
    <i>Physical Review Letters</i>, vol. 130, no. 10, 106901, American Physical Society,
    2023, doi:<a href="https://doi.org/10.1103/physrevlett.130.106901">10.1103/physrevlett.130.106901</a>.
  short: A. Volosniev, A. Shiva Kumar, D. Lorenc, Y. Ashourishokri, A.A. Zhumekenov,
    O.M. Bakr, M. Lemeshko, Z. Alpichshev, Physical Review Letters 130 (2023).
date_created: 2023-03-14T13:11:59Z
date_published: 2023-03-10T00:00:00Z
date_updated: 2023-08-01T13:39:04Z
day: '10'
department:
- _id: GradSch
- _id: ZhAl
- _id: MiLe
doi: 10.1103/physrevlett.130.106901
external_id:
  arxiv:
  - '2203.09443'
  isi:
  - '000982435900002'
intvolume: '       130'
isi: 1
issue: '10'
keyword:
- General Physics and Astronomy
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2203.09443
month: '03'
oa: 1
oa_version: Preprint
publication: Physical Review Letters
publication_identifier:
  eissn:
  - 1079-7114
  issn:
  - 0031-9007
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Spin-electric coupling in lead halide perovskites
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 130
year: '2023'
...
---
_id: '12724'
abstract:
- lang: eng
  text: 'We use general symmetry-based arguments to construct an effective model suitable
    for studying optical properties of lead halide perovskites. To build the model,
    we identify an atomic-level interaction between electromagnetic fields and the
    spin degree of freedom that should be added to a minimally coupled k⋅p Hamiltonian.
    As a first application, we study two basic optical characteristics of the material:
    the Verdet constant and the refractive index. Beyond these linear characteristics
    of the material, the model is suitable for calculating nonlinear effects such
    as the third-order optical susceptibility. Analysis of this quantity shows that
    the geometrical properties of the spin-electric term imply isotropic optical response
    of the system, and that optical anisotropy of lead halide perovskites is a manifestation
    of hopping of charge carriers. To illustrate this, we discuss third-harmonic generation.'
article_number: '125201'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Artem
  full_name: Volosniev, Artem
  id: 37D278BC-F248-11E8-B48F-1D18A9856A87
  last_name: Volosniev
  orcid: 0000-0003-0393-5525
- first_name: Abhishek
  full_name: Shiva Kumar, Abhishek
  id: 5e9a6931-eb97-11eb-a6c2-e96f7058d77a
  last_name: Shiva Kumar
- first_name: Dusan
  full_name: Lorenc, Dusan
  id: 40D8A3E6-F248-11E8-B48F-1D18A9856A87
  last_name: Lorenc
- first_name: Younes
  full_name: Ashourishokri, Younes
  id: e32c111f-f6e0-11ea-865d-eb955baea334
  last_name: Ashourishokri
- first_name: Ayan
  full_name: Zhumekenov, Ayan
  last_name: Zhumekenov
- first_name: Osman M.
  full_name: Bakr, Osman M.
  last_name: Bakr
- first_name: Mikhail
  full_name: Lemeshko, Mikhail
  id: 37CB05FA-F248-11E8-B48F-1D18A9856A87
  last_name: Lemeshko
  orcid: 0000-0002-6990-7802
- first_name: Zhanybek
  full_name: Alpichshev, Zhanybek
  id: 45E67A2A-F248-11E8-B48F-1D18A9856A87
  last_name: Alpichshev
  orcid: 0000-0002-7183-5203
citation:
  ama: Volosniev A, Shiva Kumar A, Lorenc D, et al. Effective model for studying optical
    properties of lead halide perovskites. <i>Physical Review B</i>. 2023;107(12).
    doi:<a href="https://doi.org/10.1103/physrevb.107.125201">10.1103/physrevb.107.125201</a>
  apa: Volosniev, A., Shiva Kumar, A., Lorenc, D., Ashourishokri, Y., Zhumekenov,
    A., Bakr, O. M., … Alpichshev, Z. (2023). Effective model for studying optical
    properties of lead halide perovskites. <i>Physical Review B</i>. American Physical
    Society. <a href="https://doi.org/10.1103/physrevb.107.125201">https://doi.org/10.1103/physrevb.107.125201</a>
  chicago: Volosniev, Artem, Abhishek Shiva Kumar, Dusan Lorenc, Younes Ashourishokri,
    Ayan Zhumekenov, Osman M. Bakr, Mikhail Lemeshko, and Zhanybek Alpichshev. “Effective
    Model for Studying Optical Properties of Lead Halide Perovskites.” <i>Physical
    Review B</i>. American Physical Society, 2023. <a href="https://doi.org/10.1103/physrevb.107.125201">https://doi.org/10.1103/physrevb.107.125201</a>.
  ieee: A. Volosniev <i>et al.</i>, “Effective model for studying optical properties
    of lead halide perovskites,” <i>Physical Review B</i>, vol. 107, no. 12. American
    Physical Society, 2023.
  ista: Volosniev A, Shiva Kumar A, Lorenc D, Ashourishokri Y, Zhumekenov A, Bakr
    OM, Lemeshko M, Alpichshev Z. 2023. Effective model for studying optical properties
    of lead halide perovskites. Physical Review B. 107(12), 125201.
  mla: Volosniev, Artem, et al. “Effective Model for Studying Optical Properties of
    Lead Halide Perovskites.” <i>Physical Review B</i>, vol. 107, no. 12, 125201,
    American Physical Society, 2023, doi:<a href="https://doi.org/10.1103/physrevb.107.125201">10.1103/physrevb.107.125201</a>.
  short: A. Volosniev, A. Shiva Kumar, D. Lorenc, Y. Ashourishokri, A. Zhumekenov,
    O.M. Bakr, M. Lemeshko, Z. Alpichshev, Physical Review B 107 (2023).
date_created: 2023-03-14T13:13:05Z
date_published: 2023-03-15T00:00:00Z
date_updated: 2023-08-01T13:39:47Z
day: '15'
department:
- _id: GradSch
- _id: ZhAl
- _id: MiLe
doi: 10.1103/physrevb.107.125201
external_id:
  arxiv:
  - '2204.04022'
  isi:
  - '000972602200006'
intvolume: '       107'
isi: 1
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2204.04022
month: '03'
oa: 1
oa_version: Preprint
publication: Physical Review B
publication_identifier:
  eissn:
  - 2469-9969
  issn:
  - 2469-9950
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Effective model for studying optical properties of lead halide perovskites
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 107
year: '2023'
...
---
_id: '12726'
abstract:
- lang: eng
  text: "Most motions of many-body systems at any scale in nature with sufficient
    degrees\r\nof freedom tend to be chaotic; reaching from the orbital motion of
    planets, the air\r\ncurrents in our atmosphere, down to the water flowing through
    our pipelines or\r\nthe movement of a population of bacteria. To the observer
    it is therefore intriguing\r\nwhen a moving collective exhibits order. Collective
    motion of flocks of birds, schools\r\nof fish or swarms of self-propelled particles
    or robots have been studied extensively\r\nover the past decades but the mechanisms
    involved in the transition from chaos to\r\norder remain unclear. Here, the interactions,
    that in most systems give rise to chaos,\r\nsustain order. In this thesis we investigate
    mechanisms that preserve, destabilize\r\nor lead to the ordered state. We show
    that endothelial cells migrating in circular\r\nconfinements transition to a collective
    rotating state and concomitantly synchronize\r\nthe frequencies of nucleating
    actin waves within individual cells. Consequently,\r\nthe frequency dependent
    cell migration speed uniformizes across the population.\r\nComplementary to the
    WAVE dependent nucleation of traveling actin waves, we\r\nshow that in leukocytes
    the actin polymerization depending on WASp generates\r\npushing forces locally
    at stationary patches. Next, in pipe flows, we study methods\r\nto disrupt the
    self–sustaining cycle of turbulence and therefore relaminarize the\r\nflow. While
    we find in pulsating flow conditions that turbulence emerges through a\r\nhelical
    instability during the decelerating phase. Finally, we show quantitatively in\r\nbrain
    slices of mice that wild-type control neurons can compensate the migratory\r\ndeficits
    of a genetically modified neuronal sub–population in the developing cortex."
acknowledged_ssus:
- _id: M-Shop
- _id: Bio
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Michael
  full_name: Riedl, Michael
  id: 3BE60946-F248-11E8-B48F-1D18A9856A87
  last_name: Riedl
  orcid: 0000-0003-4844-6311
citation:
  ama: Riedl M. Synchronization in collectively moving active matter. 2023. doi:<a
    href="https://doi.org/10.15479/at:ista:12726">10.15479/at:ista:12726</a>
  apa: Riedl, M. (2023). <i>Synchronization in collectively moving active matter</i>.
    Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:12726">https://doi.org/10.15479/at:ista:12726</a>
  chicago: Riedl, Michael. “Synchronization in Collectively Moving Active Matter.”
    Institute of Science and Technology Austria, 2023. <a href="https://doi.org/10.15479/at:ista:12726">https://doi.org/10.15479/at:ista:12726</a>.
  ieee: M. Riedl, “Synchronization in collectively moving active matter,” Institute
    of Science and Technology Austria, 2023.
  ista: Riedl M. 2023. Synchronization in collectively moving active matter. Institute
    of Science and Technology Austria.
  mla: Riedl, Michael. <i>Synchronization in Collectively Moving Active Matter</i>.
    Institute of Science and Technology Austria, 2023, doi:<a href="https://doi.org/10.15479/at:ista:12726">10.15479/at:ista:12726</a>.
  short: M. Riedl, Synchronization in Collectively Moving Active Matter, Institute
    of Science and Technology Austria, 2023.
date_created: 2023-03-15T13:22:13Z
date_published: 2023-03-23T00:00:00Z
date_updated: 2023-11-30T10:55:13Z
day: '23'
ddc:
- '530'
degree_awarded: PhD
department:
- _id: GradSch
- _id: BjHo
doi: 10.15479/at:ista:12726
file:
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  date_updated: 2023-11-24T11:57:46Z
  description: the main file is missing the bibliography. See new thesis record 14530
    for updated files.
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file_date_updated: 2023-11-24T11:57:46Z
has_accepted_license: '1'
language:
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month: '03'
oa_version: None
page: '260'
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '10703'
    relation: part_of_dissertation
    status: public
  - id: '10791'
    relation: part_of_dissertation
    status: public
  - id: '7932'
    relation: part_of_dissertation
    status: public
  - id: '461'
    relation: part_of_dissertation
    status: public
  - id: '14530'
    relation: new_edition
    status: public
status: public
supervisor:
- first_name: Björn
  full_name: Hof, Björn
  id: 3A374330-F248-11E8-B48F-1D18A9856A87
  last_name: Hof
  orcid: 0000-0003-2057-2754
title: Synchronization in collectively moving active matter
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '12732'
abstract:
- lang: eng
  text: "Nonergodic systems, whose out-of-equilibrium dynamics fail to thermalize,
    provide a fascinating research direction both for fundamental reasons and for
    application in state of the art quantum devices.\r\nGoing beyond the description
    of statistical mechanics, ergodicity breaking yields a new paradigm in quantum
    many-body physics, introducing novel phases of matter with no counterpart at equilibrium.\r\nIn
    this Thesis, we address different open questions in the field, focusing on disorder-induced
    many-body localization (MBL) and on weak ergodicity breaking in kinetically constrained
    models.\r\nIn particular, we contribute to the debate about transport in kinetically
    constrained models, studying the effect of $U(1)$ conservation and inversion-symmetry
    breaking in a family of quantum East models.\r\nUsing tensor network techniques,
    we analyze the dynamics of large MBL systems beyond the limit of exact numerical
    methods.\r\nIn this setting, we approach the debated topic of the coexistence
    of localized and thermal eigenstates separated by energy thresholds known as many-body
    mobility edges.\r\nInspired by recent experiments, our work further investigates
    the localization of a small bath induced by the coupling to a large localized
    chain, the so-called MBL proximity effect.\r\n\r\nIn the first Chapter, we introduce
    a family of particle-conserving kinetically constrained models, inspired by the
    quantum East model.\r\nThe system we study features strong inversion-symmetry
    breaking, due to the nature of the correlated hopping.\r\nWe show that these models
    host so-called quantum Hilbert space fragmentation, consisting of disconnected
    subsectors in an entangled basis, and further provide an analytical description
    of this phenomenon.\r\nWe further probe its effect on dynamics of simple product
    states, showing revivals in fidelity and local observalbes.\r\nThe study of dynamics
    within the largest subsector reveals an anomalous transient superdiffusive behavior
    crossing over to slow logarithmic dynamics at later times.\r\nThis work suggests
    that particle conserving constrained models with inversion-symmetry breaking realize
    new universality classes of dynamics and invite their further theoretical and
    experimental studies.\r\n\r\nNext, we use kinetic constraints and disorder to
    design a model with many-body mobility edges in particle density.\r\nThis feature
    allows to study the dynamics of localized and thermal states in large systems
    beyond the limitations of previous studies.\r\nThe time-evolution shows typical
    signatures of localization at small densities, replaced by thermal behavior at
    larger densities.\r\nOur results provide evidence in favor of the stability of
    many-body mobility edges, which was recently challenged by a theoretical argument.\r\nTo
    support our findings, we probe the mechanism proposed as a cause of delocalization
    in many-body localized systems with mobility edges suggesting its ineffectiveness
    in the model studied.\r\n\r\nIn the last Chapter of this Thesis, we address the
    topic of many-body localization proximity effect.\r\nWe study a model inspired
    by recent experiments, featuring Anderson localized coupled to a small bath of
    free hard-core bosons.\r\nThe interaction among the two particle species results
    in non-trivial dynamics, which we probe using tensor network techniques.\r\nOur
    simulations show convincing evidence of many-body localization proximity effect
    when the bath is composed by a single free particle and interactions are strong.\r\nWe
    furthter observe an anomalous entanglement dynamics, which we explain through
    a phenomenological theory.\r\nFinally, we extract highly excited eigenstates of
    large systems, providing supplementary evidence in favor of our findings."
acknowledged_ssus:
- _id: ScienComp
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Pietro
  full_name: Brighi, Pietro
  id: 4115AF5C-F248-11E8-B48F-1D18A9856A87
  last_name: Brighi
  orcid: 0000-0002-7969-2729
citation:
  ama: Brighi P. Ergodicity breaking in disordered and kinetically constrained quantum
    many-body systems. 2023. doi:<a href="https://doi.org/10.15479/at:ista:12732">10.15479/at:ista:12732</a>
  apa: Brighi, P. (2023). <i>Ergodicity breaking in disordered and kinetically constrained
    quantum many-body systems</i>. Institute of Science and Technology Austria. <a
    href="https://doi.org/10.15479/at:ista:12732">https://doi.org/10.15479/at:ista:12732</a>
  chicago: Brighi, Pietro. “Ergodicity Breaking in Disordered and Kinetically Constrained
    Quantum Many-Body Systems.” Institute of Science and Technology Austria, 2023.
    <a href="https://doi.org/10.15479/at:ista:12732">https://doi.org/10.15479/at:ista:12732</a>.
  ieee: P. Brighi, “Ergodicity breaking in disordered and kinetically constrained
    quantum many-body systems,” Institute of Science and Technology Austria, 2023.
  ista: Brighi P. 2023. Ergodicity breaking in disordered and kinetically constrained
    quantum many-body systems. Institute of Science and Technology Austria.
  mla: Brighi, Pietro. <i>Ergodicity Breaking in Disordered and Kinetically Constrained
    Quantum Many-Body Systems</i>. Institute of Science and Technology Austria, 2023,
    doi:<a href="https://doi.org/10.15479/at:ista:12732">10.15479/at:ista:12732</a>.
  short: P. Brighi, Ergodicity Breaking in Disordered and Kinetically Constrained
    Quantum Many-Body Systems, Institute of Science and Technology Austria, 2023.
date_created: 2023-03-17T13:30:48Z
date_published: 2023-03-21T00:00:00Z
date_updated: 2023-09-20T10:44:12Z
day: '21'
ddc:
- '530'
degree_awarded: PhD
department:
- _id: GradSch
- _id: MaSe
doi: 10.15479/at:ista:12732
ec_funded: 1
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  date_created: 2023-03-23T16:42:56Z
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file_date_updated: 2023-03-23T16:43:14Z
has_accepted_license: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-sa/4.0/
month: '03'
oa: 1
oa_version: None
page: '158'
project:
- _id: 23841C26-32DE-11EA-91FC-C7463DDC885E
  call_identifier: H2020
  grant_number: '850899'
  name: 'Non-Ergodic Quantum Matter: Universality, Dynamics and Control'
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '11470'
    relation: part_of_dissertation
    status: public
  - id: '8308'
    relation: part_of_dissertation
    status: public
  - id: '11469'
    relation: part_of_dissertation
    status: public
  - id: '12750'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Maksym
  full_name: Serbyn, Maksym
  id: 47809E7E-F248-11E8-B48F-1D18A9856A87
  last_name: Serbyn
  orcid: 0000-0002-2399-5827
title: Ergodicity breaking in disordered and kinetically constrained quantum many-body
  systems
tmp:
  image: /images/cc_by_nc_sa.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
    BY-NC-SA 4.0)
  short: CC BY-NC-SA (4.0)
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '12736'
abstract:
- lang: eng
  text: Although a wide variety of handcrafted concurrent data structures have been
    proposed, there is considerable interest in universal approaches (Universal Constructions
    or UCs) for building concurrent data structures. UCs (semi-)automatically convert
    a sequential data structure into a concurrent one. The simplest approach uses
    locks [3, 6] that protect a sequential data structure and allow only one process
    to access it at a time. However, the resulting data structure is blocking. Most
    work on UCs instead focuses on obtaining non-blocking progress guarantees such
    as obstruction-freedom, lock-freedom or wait-freedom. Many non-blocking UCs have
    appeared. Key examples include the seminal wait-free UC [2] by Herlihy, a NUMA-aware
    UC [10] by Yi et al., and an efficient UC for large objects [1] by Fatourou et
    al.
acknowledgement: 'This work was supported by: the Natural Sciences and Engineering
  Research Council of Canada (NSERC) Discovery Program grant: RGPIN-2019-04227, and
  the Canada Foundation for Innovation John R. Evans Leaders Fund (CFI-JELF) with
  equal support from the Ontario Research Fund CFI Leaders Opportunity Fund: 38512.'
article_processing_charge: No
author:
- first_name: Vitaly
  full_name: Aksenov, Vitaly
  last_name: Aksenov
- first_name: Trevor A
  full_name: Brown, Trevor A
  id: 3569F0A0-F248-11E8-B48F-1D18A9856A87
  last_name: Brown
- first_name: Alexander
  full_name: Fedorov, Alexander
  id: 2e711909-896a-11ed-bdf8-eb0f5a2984c6
  last_name: Fedorov
- first_name: Ilya
  full_name: Kokorin, Ilya
  last_name: Kokorin
citation:
  ama: Aksenov V, Brown TA, Fedorov A, Kokorin I. <i>Unexpected Scaling in Path Copying
    Trees</i>. Association for Computing Machinery; 2023:438-440. doi:<a href="https://doi.org/10.1145/3572848.3577512">10.1145/3572848.3577512</a>
  apa: 'Aksenov, V., Brown, T. A., Fedorov, A., &#38; Kokorin, I. (2023). <i>Unexpected
    scaling in path copying trees</i>. <i>Proceedings of the ACM SIGPLAN Symposium
    on Principles and Practice of Parallel Programming</i> (pp. 438–440). Montreal,
    QB, Canada: Association for Computing Machinery. <a href="https://doi.org/10.1145/3572848.3577512">https://doi.org/10.1145/3572848.3577512</a>'
  chicago: Aksenov, Vitaly, Trevor A Brown, Alexander Fedorov, and Ilya Kokorin. <i>Unexpected
    Scaling in Path Copying Trees</i>. <i>Proceedings of the ACM SIGPLAN Symposium
    on Principles and Practice of Parallel Programming</i>. Association for Computing
    Machinery, 2023. <a href="https://doi.org/10.1145/3572848.3577512">https://doi.org/10.1145/3572848.3577512</a>.
  ieee: V. Aksenov, T. A. Brown, A. Fedorov, and I. Kokorin, <i>Unexpected scaling
    in path copying trees</i>. Association for Computing Machinery, 2023, pp. 438–440.
  ista: Aksenov V, Brown TA, Fedorov A, Kokorin I. 2023. Unexpected scaling in path
    copying trees, Association for Computing Machinery,p.
  mla: Aksenov, Vitaly, et al. “Unexpected Scaling in Path Copying Trees.” <i>Proceedings
    of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming</i>,
    Association for Computing Machinery, 2023, pp. 438–40, doi:<a href="https://doi.org/10.1145/3572848.3577512">10.1145/3572848.3577512</a>.
  short: V. Aksenov, T.A. Brown, A. Fedorov, I. Kokorin, Unexpected Scaling in Path
    Copying Trees, Association for Computing Machinery, 2023.
conference:
  end_date: 2023-03-01
  location: Montreal, QB, Canada
  name: 'PPoPP: Sympopsium on Principles and Practice of Parallel Programming'
  start_date: 2023-02-25
date_created: 2023-03-19T23:00:58Z
date_published: 2023-02-25T00:00:00Z
date_updated: 2023-03-20T07:57:27Z
day: '25'
department:
- _id: DaAl
- _id: GradSch
doi: 10.1145/3572848.3577512
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1145/3572848.3577512
month: '02'
oa: 1
oa_version: Published Version
page: 438-440
publication: Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of
  Parallel Programming
publication_identifier:
  isbn:
  - '9798400700156'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
status: public
title: Unexpected scaling in path copying trees
type: conference_poster
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '12762'
abstract:
- lang: eng
  text: Neurons in the brain are wired into adaptive networks that exhibit collective
    dynamics as diverse as scale-specific oscillations and scale-free neuronal avalanches.
    Although existing models account for oscillations and avalanches separately, they
    typically do not explain both phenomena, are too complex to analyze analytically
    or intractable to infer from data rigorously. Here we propose a feedback-driven
    Ising-like class of neural networks that captures avalanches and oscillations
    simultaneously and quantitatively. In the simplest yet fully microscopic model
    version, we can analytically compute the phase diagram and make direct contact
    with human brain resting-state activity recordings via tractable inference of
    the model’s two essential parameters. The inferred model quantitatively captures
    the dynamics over a broad range of scales, from single sensor oscillations to
    collective behaviors of extreme events and neuronal avalanches. Importantly, the
    inferred parameters indicate that the co-existence of scale-specific (oscillations)
    and scale-free (avalanches) dynamics occurs close to a non-equilibrium critical
    point at the onset of self-sustained oscillations.
acknowledgement: This research was funded in whole, or in part, by the Austrian Science
  Fund (FWF) (grant no. PT1013M03318 to F.L. and no. P34015 to G.T.). For the purpose
  of open access, the author has applied a CC BY public copyright licence to any Author
  Accepted Manuscript version arising from this submission. The study was supported
  by the European Union Horizon 2020 research and innovation program under the Marie
  Sklodowska-Curie action (grant agreement No. 754411 to F.L.).
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Fabrizio
  full_name: Lombardi, Fabrizio
  id: A057D288-3E88-11E9-986D-0CF4E5697425
  last_name: Lombardi
  orcid: 0000-0003-2623-5249
- first_name: Selver
  full_name: Pepic, Selver
  id: F93245C4-C3CA-11E9-B4F0-C6F4E5697425
  last_name: Pepic
- first_name: Oren
  full_name: Shriki, Oren
  last_name: Shriki
- first_name: Gašper
  full_name: Tkačik, Gašper
  id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
  last_name: Tkačik
  orcid: 0000-0002-6699-1455
- first_name: Daniele
  full_name: De Martino, Daniele
  id: 3FF5848A-F248-11E8-B48F-1D18A9856A87
  last_name: De Martino
  orcid: 0000-0002-5214-4706
citation:
  ama: Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. Statistical modeling
    of adaptive neural networks explains co-existence of avalanches and oscillations
    in resting human brain. <i>Nature Computational Science</i>. 2023;3:254-263. doi:<a
    href="https://doi.org/10.1038/s43588-023-00410-9">10.1038/s43588-023-00410-9</a>
  apa: Lombardi, F., Pepic, S., Shriki, O., Tkačik, G., &#38; De Martino, D. (2023).
    Statistical modeling of adaptive neural networks explains co-existence of avalanches
    and oscillations in resting human brain. <i>Nature Computational Science</i>.
    Springer Nature. <a href="https://doi.org/10.1038/s43588-023-00410-9">https://doi.org/10.1038/s43588-023-00410-9</a>
  chicago: Lombardi, Fabrizio, Selver Pepic, Oren Shriki, Gašper Tkačik, and Daniele
    De Martino. “Statistical Modeling of Adaptive Neural Networks Explains Co-Existence
    of Avalanches and Oscillations in Resting Human Brain.” <i>Nature Computational
    Science</i>. Springer Nature, 2023. <a href="https://doi.org/10.1038/s43588-023-00410-9">https://doi.org/10.1038/s43588-023-00410-9</a>.
  ieee: F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, and D. De Martino, “Statistical
    modeling of adaptive neural networks explains co-existence of avalanches and oscillations
    in resting human brain,” <i>Nature Computational Science</i>, vol. 3. Springer
    Nature, pp. 254–263, 2023.
  ista: Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. 2023. Statistical modeling
    of adaptive neural networks explains co-existence of avalanches and oscillations
    in resting human brain. Nature Computational Science. 3, 254–263.
  mla: Lombardi, Fabrizio, et al. “Statistical Modeling of Adaptive Neural Networks
    Explains Co-Existence of Avalanches and Oscillations in Resting Human Brain.”
    <i>Nature Computational Science</i>, vol. 3, Springer Nature, 2023, pp. 254–63,
    doi:<a href="https://doi.org/10.1038/s43588-023-00410-9">10.1038/s43588-023-00410-9</a>.
  short: F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, D. De Martino, Nature Computational
    Science 3 (2023) 254–263.
date_created: 2023-03-26T22:01:08Z
date_published: 2023-03-20T00:00:00Z
date_updated: 2023-08-16T12:41:53Z
day: '20'
ddc:
- '570'
department:
- _id: GaTk
- _id: GradSch
doi: 10.1038/s43588-023-00410-9
ec_funded: 1
external_id:
  arxiv:
  - '2108.06686'
file:
- access_level: open_access
  checksum: 7c63b2b2edfd68aaffe96d70ca6a865a
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  date_created: 2023-08-16T12:39:57Z
  date_updated: 2023-08-16T12:39:57Z
  file_id: '14073'
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  success: 1
file_date_updated: 2023-08-16T12:39:57Z
has_accepted_license: '1'
intvolume: '         3'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '03'
oa: 1
oa_version: Published Version
page: 254-263
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '754411'
  name: ISTplus - Postdoctoral Fellowships
- _id: eb943429-77a9-11ec-83b8-9f471cdf5c67
  grant_number: M03318
  name: Functional Advantages of Critical Brain Dynamics
- _id: 626c45b5-2b32-11ec-9570-e509828c1ba6
  grant_number: P34015
  name: Efficient coding with biophysical realism
publication: Nature Computational Science
publication_identifier:
  eissn:
  - 2662-8457
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Statistical modeling of adaptive neural networks explains co-existence of avalanches
  and oscillations in resting human brain
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 3
year: '2023'
...
---
_id: '12781'
abstract:
- lang: eng
  text: "Most energy in humans is produced in form of ATP by the mitochondrial respiratory
    chain consisting of several protein assemblies embedded into lipid membrane (complexes
    I-V). Complex I is the first and the largest enzyme of the respiratory chain which
    is essential for energy production. It couples the transfer of two electrons from
    NADH to ubiquinone with proton translocation across bacterial or inner mitochondrial
    membrane. The coupling mechanism between electron transfer and proton translocation
    is one of the biggest enigma in bioenergetics and structural biology. Even though
    the enzyme has been studied for decades, only recent technological advances in
    cryo-EM allowed its extensive structural investigation. \r\n\r\nComplex I from
    E.coli appears to be of special importance because it is a perfect model system
    with a rich mutant library, however the structure of the entire complex was unknown.
    In this thesis I have resolved structures of the minimal complex I version from
    E. coli in different states including reduced, inhibited, under reaction turnover
    and several others. Extensive structural analyses of these structures and comparison
    to structures from other species allowed to derive general features of conformational
    dynamics and propose a universal coupling mechanism. The mechanism is straightforward,
    robust and consistent with decades of experimental data available for complex
    I from different species. \r\n\r\nCyanobacterial NDH (cyanobacterial complex I)
    is a part of broad complex I superfamily and was studied as well in this thesis.
    It plays an important role in cyclic electron transfer (CET), during which electrons
    are cycled within PSI through ferredoxin and plastoquinone to generate proton
    gradient without NADPH production. Here, I solved structure of NDH and revealed
    additional state, which was not observed before. The novel “resting” state allowed
    to propose the mechanism of CET regulation. Moreover, conformational dynamics
    of NDH resembles one in complex I which suggest more broad universality of the
    proposed coupling mechanism.\r\n\r\nIn summary, results presented here helped
    to interpret decades of experimental data for complex I and contributed to fundamental
    mechanistic understanding of protein function.\r\n"
acknowledged_ssus:
- _id: EM-Fac
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Vladyslav
  full_name: Kravchuk, Vladyslav
  id: 4D62F2A6-F248-11E8-B48F-1D18A9856A87
  last_name: Kravchuk
citation:
  ama: Kravchuk V. Structural and mechanistic study of bacterial complex I and its
    cyanobacterial ortholog. 2023. doi:<a href="https://doi.org/10.15479/at:ista:12781">10.15479/at:ista:12781</a>
  apa: Kravchuk, V. (2023). <i>Structural and mechanistic study of bacterial complex
    I and its cyanobacterial ortholog</i>. Institute of Science and Technology Austria.
    <a href="https://doi.org/10.15479/at:ista:12781">https://doi.org/10.15479/at:ista:12781</a>
  chicago: Kravchuk, Vladyslav. “Structural and Mechanistic Study of Bacterial Complex
    I and Its Cyanobacterial Ortholog.” Institute of Science and Technology Austria,
    2023. <a href="https://doi.org/10.15479/at:ista:12781">https://doi.org/10.15479/at:ista:12781</a>.
  ieee: V. Kravchuk, “Structural and mechanistic study of bacterial complex I and
    its cyanobacterial ortholog,” Institute of Science and Technology Austria, 2023.
  ista: Kravchuk V. 2023. Structural and mechanistic study of bacterial complex I
    and its cyanobacterial ortholog. Institute of Science and Technology Austria.
  mla: Kravchuk, Vladyslav. <i>Structural and Mechanistic Study of Bacterial Complex
    I and Its Cyanobacterial Ortholog</i>. Institute of Science and Technology Austria,
    2023, doi:<a href="https://doi.org/10.15479/at:ista:12781">10.15479/at:ista:12781</a>.
  short: V. Kravchuk, Structural and Mechanistic Study of Bacterial Complex I and
    Its Cyanobacterial Ortholog, Institute of Science and Technology Austria, 2023.
date_created: 2023-03-31T12:24:42Z
date_published: 2023-03-23T00:00:00Z
date_updated: 2023-08-04T08:54:51Z
day: '23'
ddc:
- '570'
- '572'
degree_awarded: PhD
department:
- _id: GradSch
- _id: LeSa
doi: 10.15479/at:ista:12781
ec_funded: 1
file:
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  creator: vkravchu
  date_created: 2023-04-19T14:33:41Z
  date_updated: 2023-04-19T14:33:41Z
  embargo: 2024-04-20
  embargo_to: local
  file_id: '12852'
  file_name: VladyslavKravchuk_PhD_Thesis_PostSub_Final_1.pdf
  file_size: 6071553
  relation: main_file
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  creator: vkravchu
  date_created: 2023-04-19T14:33:52Z
  date_updated: 2023-04-20T07:02:59Z
  embargo: 2024-04-20
  embargo_to: local
  file_id: '12853'
  file_name: VladyslavKravchuk_PhD_Thesis_PostSub_Final.docx
  file_size: 19468766
  relation: source_file
file_date_updated: 2023-04-20T07:02:59Z
has_accepted_license: '1'
language:
- iso: eng
month: '03'
oa_version: Published Version
page: '127'
project:
- _id: 238A0A5A-32DE-11EA-91FC-C7463DDC885E
  grant_number: '25541'
  name: 'Structural characterization of E. coli complex I: an important mechanistic
    model'
- _id: 627abdeb-2b32-11ec-9570-ec31a97243d3
  call_identifier: H2020
  grant_number: '101020697'
  name: Structure and mechanism of respiratory chain molecular machines
publication_identifier:
  isbn:
  - 978-3-99078-029-9
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '12138'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Leonid A
  full_name: Sazanov, Leonid A
  id: 338D39FE-F248-11E8-B48F-1D18A9856A87
  last_name: Sazanov
  orcid: 0000-0002-0977-7989
title: Structural and mechanistic study of bacterial complex I and its cyanobacterial
  ortholog
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '12800'
abstract:
- lang: eng
  text: 'The evolutionary processes that brought about today’s plethora of living
    species and the many billions more ancient ones all underlie biology. Evolutionary
    pathways are neither directed nor deterministic, but rather an interplay between
    selection, migration, mutation, genetic drift and other environmental factors.
    Hybrid zones, as natural crossing experiments, offer a great opportunity to use
    cline analysis to deduce different evolutionary processes - for example, selection
    strength. Theoretical cline models, largely assuming uniform distribution of individuals,
    often lack the capability of incorporating population structure. Since in reality
    organisms mostly live in patchy distributions and their dispersal is hardly ever
    Gaussian, it is necessary to unravel the effect of these different elements of
    population structure on cline parameters and shape. In this thesis, I develop
    a simulation inspired by the A. majus hybrid zone of a single selected locus under
    frequency dependent selection. This simulation enables us to untangle the effects
    of different elements of population structure as for example a low-density center
    and long-range dispersal. This thesis is therefore a first step towards theoretically
    untangling the effects of different elements of population structure on cline
    parameters and shape. '
alternative_title:
- ISTA Master's Thesis
article_processing_charge: No
author:
- first_name: Mara
  full_name: Julseth, Mara
  id: 1cf464b2-dc7d-11ea-9b2f-f9b1aa9417d1
  last_name: Julseth
citation:
  ama: Julseth M. The effect of local population structure on genetic variation at
    selected loci in the A. majus hybrid zone. 2023. doi:<a href="https://doi.org/10.15479/at:ista:12800">10.15479/at:ista:12800</a>
  apa: Julseth, M. (2023). <i>The effect of local population structure on genetic
    variation at selected loci in the A. majus hybrid zone</i>. Institute of Science
    and Technology Austria. <a href="https://doi.org/10.15479/at:ista:12800">https://doi.org/10.15479/at:ista:12800</a>
  chicago: Julseth, Mara. “The Effect of Local Population Structure on Genetic Variation
    at Selected Loci in the A. Majus Hybrid Zone.” Institute of Science and Technology
    Austria, 2023. <a href="https://doi.org/10.15479/at:ista:12800">https://doi.org/10.15479/at:ista:12800</a>.
  ieee: M. Julseth, “The effect of local population structure on genetic variation
    at selected loci in the A. majus hybrid zone,” Institute of Science and Technology
    Austria, 2023.
  ista: Julseth M. 2023. The effect of local population structure on genetic variation
    at selected loci in the A. majus hybrid zone. Institute of Science and Technology
    Austria.
  mla: Julseth, Mara. <i>The Effect of Local Population Structure on Genetic Variation
    at Selected Loci in the A. Majus Hybrid Zone</i>. Institute of Science and Technology
    Austria, 2023, doi:<a href="https://doi.org/10.15479/at:ista:12800">10.15479/at:ista:12800</a>.
  short: M. Julseth, The Effect of Local Population Structure on Genetic Variation
    at Selected Loci in the A. Majus Hybrid Zone, Institute of Science and Technology
    Austria, 2023.
date_created: 2023-04-04T18:57:11Z
date_published: 2023-04-05T00:00:00Z
date_updated: 2023-06-02T22:30:05Z
day: '05'
ddc:
- '576'
degree_awarded: MS
department:
- _id: GradSch
- _id: NiBa
doi: 10.15479/at:ista:12800
file:
- access_level: closed
  checksum: b76cf6d69f2093d8248f6a3f9d4654a4
  content_type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
  creator: mjulseth
  date_created: 2023-04-06T06:09:40Z
  date_updated: 2023-06-02T22:30:04Z
  embargo_to: open_access
  file_id: '12805'
  file_name: Dispersaldata.xlsx
  file_size: 52795
  relation: supplementary_material
- access_level: open_access
  checksum: 5a13b6d204371572e249f03795bc0d04
  content_type: application/vnd.wolfram.nb
  creator: mjulseth
  date_created: 2023-04-06T06:11:27Z
  date_updated: 2023-06-02T22:30:04Z
  embargo: 2023-06-01
  file_id: '12806'
  file_name: 2023_MSc_ThesisMaraJulseth_Notebook.nb
  file_size: 787239
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- access_level: closed
  checksum: c3ec842839ed1e66bf2618ae33047df8
  content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
  creator: mjulseth
  date_created: 2023-04-06T08:26:12Z
  date_updated: 2023-06-02T22:30:04Z
  embargo_to: open_access
  file_id: '12812'
  file_name: ThesisMaraJulseth_04_23.docx
  file_size: 1061763
  relation: source_file
- access_level: open_access
  checksum: 3132cc998fbe3ae2a3a83c2a69367f37
  content_type: application/pdf
  creator: mjulseth
  date_created: 2023-04-06T08:26:37Z
  date_updated: 2023-06-02T22:30:04Z
  embargo: 2023-06-01
  file_id: '12813'
  file_name: ThesisMaraJulseth_04_23.pdf
  file_size: 1741364
  relation: main_file
file_date_updated: 2023-06-02T22:30:04Z
has_accepted_license: '1'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: '21'
publication_identifier:
  issn:
  - 2791-4585
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Nicholas H
  full_name: Barton, Nicholas H
  id: 4880FE40-F248-11E8-B48F-1D18A9856A87
  last_name: Barton
  orcid: 0000-0002-8548-5240
title: The effect of local population structure on genetic variation at selected loci
  in the A. majus hybrid zone
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '12809'
abstract:
- lang: eng
  text: "Understanding the mechanisms of learning and memory formation has always
    been one of\r\nthe main goals in neuroscience. Already Pavlov (1927) in his early
    days has used his classic\r\nconditioning experiments to study the neural mechanisms
    governing behavioral adaptation.\r\nWhat was not known back then was that the
    part of the brain that is largely responsible for\r\nthis type of associative
    learning is the cerebellum.\r\nSince then, plenty of theories on cerebellar learning
    have emerged. Despite their differences,\r\none thing they all have in common
    is that learning relies on synaptic and intrinsic plasticity.\r\nThe goal of my
    PhD project was to unravel the molecular mechanisms underlying synaptic\r\nplasticity
    in two synapses that have been shown to be implicated in motor learning, in an\r\neffort
    to understand how learning and memory formation are processed in the cerebellum.\r\nOne
    of the earliest and most well-known cerebellar theories postulates that motor
    learning\r\nlargely depends on long-term depression at the parallel fiber-Purkinje
    cell (PC-PC) synapse.\r\nHowever, the discovery of other types of plasticity in
    the cerebellar circuitry, like long-term\r\npotentiation (LTP) at the PC-PC synapse,
    potentiation of molecular layer interneurons (MLIs),\r\nand plasticity transfer
    from the cortex to the cerebellar/ vestibular nuclei has increased the\r\npopularity
    of the idea that multiple sites of plasticity might be involved in learning.\r\nStill
    a lot remains unknown about the molecular mechanisms responsible for these types
    of\r\nplasticity and whether they occur during physiological learning.\r\nIn the
    first part of this thesis we have analyzed the variation and nanodistribution
    of voltagegated calcium channels (VGCCs) and α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic
    acid\r\ntype glutamate receptors (AMPARs) on the parallel fiber-Purkinje cell
    synapse after vestibuloocular reflex phase reversal adaptation, a behavior that
    has been suggested to rely on PF-PC\r\nLTP. We have found that on the last day
    of adaptation there is no learning trace in form of\r\nVGCCs nor AMPARs variation
    at the PF-PC synapse, but instead a decrease in the number of\r\nPF-PC synapses.
    These data seem to support the view that learning is only stored in the\r\ncerebellar
    cortex in an initial learning phase, being transferred later to the vestibular
    nuclei.\r\nNext, we have studied the role of MLIs in motor learning using a relatively
    simple and well characterized behavioral paradigm – horizontal optokinetic reflex
    (HOKR) adaptation. We\r\nhave found behavior-induced MLI potentiation in form
    of release probability increase that\r\ncould be explained by the increase of
    VGCCs at the presynaptic side. Our results strengthen\r\nthe idea of distributed
    cerebellar plasticity contributing to learning and provide a novel\r\nmechanism
    for release probability increase. "
acknowledged_ssus:
- _id: EM-Fac
- _id: Bio
- _id: PreCl
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Catarina
  full_name: Alcarva, Catarina
  id: 3A96634C-F248-11E8-B48F-1D18A9856A87
  last_name: Alcarva
citation:
  ama: 'Alcarva C. Plasticity in the cerebellum: What molecular mechanisms are behind
    physiological learning. 2023. doi:<a href="https://doi.org/10.15479/at:ista:12809">10.15479/at:ista:12809</a>'
  apa: 'Alcarva, C. (2023). <i>Plasticity in the cerebellum: What molecular mechanisms
    are behind physiological learning</i>. Institute of Science and Technology Austria.
    <a href="https://doi.org/10.15479/at:ista:12809">https://doi.org/10.15479/at:ista:12809</a>'
  chicago: 'Alcarva, Catarina. “Plasticity in the Cerebellum: What Molecular Mechanisms
    Are behind Physiological Learning.” Institute of Science and Technology Austria,
    2023. <a href="https://doi.org/10.15479/at:ista:12809">https://doi.org/10.15479/at:ista:12809</a>.'
  ieee: 'C. Alcarva, “Plasticity in the cerebellum: What molecular mechanisms are
    behind physiological learning,” Institute of Science and Technology Austria, 2023.'
  ista: 'Alcarva C. 2023. Plasticity in the cerebellum: What molecular mechanisms
    are behind physiological learning. Institute of Science and Technology Austria.'
  mla: 'Alcarva, Catarina. <i>Plasticity in the Cerebellum: What Molecular Mechanisms
    Are behind Physiological Learning</i>. Institute of Science and Technology Austria,
    2023, doi:<a href="https://doi.org/10.15479/at:ista:12809">10.15479/at:ista:12809</a>.'
  short: 'C. Alcarva, Plasticity in the Cerebellum: What Molecular Mechanisms Are
    behind Physiological Learning, Institute of Science and Technology Austria, 2023.'
date_created: 2023-04-06T07:54:09Z
date_published: 2023-04-06T00:00:00Z
date_updated: 2023-04-26T12:16:56Z
day: '06'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: RySh
doi: 10.15479/at:ista:12809
file:
- access_level: closed
  checksum: 35b5997d2b0acb461f9d33d073da0df5
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  creator: cchlebak
  date_created: 2023-04-07T06:16:06Z
  date_updated: 2023-04-07T06:16:06Z
  embargo: 2024-04-07
  embargo_to: open_access
  file_id: '12814'
  file_name: Thesis_CatarinaAlcarva_final pdfA.pdf
  file_size: 9881969
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  creator: cchlebak
  date_created: 2023-04-07T06:17:11Z
  date_updated: 2023-04-07T06:17:11Z
  file_id: '12815'
  file_name: Thesis_CatarinaAlcarva_final_for printing.pdf
  file_size: 44201583
  relation: source_file
- access_level: closed
  checksum: 0317bf7f457bb585f99d453ffa69eb53
  content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
  creator: cchlebak
  date_created: 2023-04-07T06:18:05Z
  date_updated: 2023-04-07T06:18:05Z
  file_id: '12816'
  file_name: Thesis_CatarinaAlcarva_final.docx
  file_size: 84731244
  relation: source_file
file_date_updated: 2023-04-07T06:18:05Z
has_accepted_license: '1'
language:
- iso: eng
month: '04'
oa_version: Published Version
page: '115'
project:
- _id: 267DFB90-B435-11E9-9278-68D0E5697425
  name: 'Plasticity in the cerebellum: Which molecular mechanisms are behind physiological
    learning?'
publication_identifier:
  issn:
  - 2663 - 337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Ryuichi
  full_name: Shigemoto, Ryuichi
  id: 499F3ABC-F248-11E8-B48F-1D18A9856A87
  last_name: Shigemoto
  orcid: 0000-0001-8761-9444
title: 'Plasticity in the cerebellum: What molecular mechanisms are behind physiological
  learning'
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '12826'
abstract:
- lang: eng
  text: "During navigation, animals can infer the structure of the environment by
    computing the optic flow cues elicited by their own movements, and subsequently
    use this information to instruct proper locomotor actions. These computations
    require a panoramic assessment of the visual environment in order to disambiguate
    similar sensory experiences that may require distinct behavioral responses. The
    estimation of the global motion patterns is therefore essential for successful
    navigation. Yet, our understanding of the algorithms and implementations that
    enable coherent panoramic visual perception remains scarce. Here I pursue this
    problem by dissecting the functional aspects of interneuronal communication in
    the lobula plate tangential cell network in Drosophila melanogaster. The results
    presented in the thesis demonstrate that the basis for effective interpretation
    of the optic flow in this circuit are stereotyped synaptic connections that mediate
    the formation of distinct subnetworks, each extracting a particular pattern of
    global motion. \r\nFirstly, I show that gap junctions are essential for a correct
    interpretation of binocular motion cues by horizontal motion-sensitive cells.
    HS cells form electrical synapses with contralateral H2 neurons that are involved
    in detecting yaw rotation and translation. I developed an FlpStop-mediated mutant
    of a gap junction protein ShakB that disrupts these electrical synapses. While
    the loss of electrical synapses does not affect the tuning of the direction selectivity
    in HS neurons, it severely alters their sensitivity to horizontal motion in the
    contralateral side. These physiological changes result in an inappropriate integration
    of binocular motion cues in walking animals. While wild-type flies form a binocular
    perception of visual motion by non-linear integration of monocular optic flow
    cues, the mutant flies sum the monocular inputs linearly. These results indicate
    that rather than averaging signals in neighboring neurons, gap-junctions operate
    in conjunction with chemical synapses to mediate complex non-linear optic flow
    computations.\r\nSecondly, I show that stochastic manipulation of neuronal activity
    in the lobula plate tangential cell network is a powerful approach to study the
    neuronal implementation of optic flow-based navigation in flies. Tangential neurons
    form multiple subnetworks, each mediating course-stabilizing response to a particular
    global pattern of visual motion. Application of genetic mosaic techniques can
    provide sparse optogenetic activation of HS cells in numerous combinations. These
    distinct combinations of activated neurons drive an array of distinct behavioral
    responses, providing important insights into how visuomotor transformation is
    performed in the lobula plate tangential cell network. This approach can be complemented
    by stochastic silencing of tangential neurons, enabling direct assessment of the
    functional role of individual tangential neurons in the processing of specific
    visual motion patterns.\r\n\tTaken together, the findings presented in this thesis
    suggest that establishing specific activity patterns of tangential cells via stereotyped
    synaptic connectivity is a key to efficient optic flow-based navigation in Drosophila
    melanogaster."
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Victoria
  full_name: Pokusaeva, Victoria
  id: 3184041C-F248-11E8-B48F-1D18A9856A87
  last_name: Pokusaeva
  orcid: 0000-0001-7660-444X
citation:
  ama: Pokusaeva V. Neural control of optic flow-based navigation in Drosophila melanogaster.
    2023. doi:<a href="https://doi.org/10.15479/at:ista:12826">10.15479/at:ista:12826</a>
  apa: Pokusaeva, V. (2023). <i>Neural control of optic flow-based navigation in Drosophila
    melanogaster</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:12826">https://doi.org/10.15479/at:ista:12826</a>
  chicago: Pokusaeva, Victoria. “Neural Control of Optic Flow-Based Navigation in
    Drosophila Melanogaster.” Institute of Science and Technology Austria, 2023. <a
    href="https://doi.org/10.15479/at:ista:12826">https://doi.org/10.15479/at:ista:12826</a>.
  ieee: V. Pokusaeva, “Neural control of optic flow-based navigation in Drosophila
    melanogaster,” Institute of Science and Technology Austria, 2023.
  ista: Pokusaeva V. 2023. Neural control of optic flow-based navigation in Drosophila
    melanogaster. Institute of Science and Technology Austria.
  mla: Pokusaeva, Victoria. <i>Neural Control of Optic Flow-Based Navigation in Drosophila
    Melanogaster</i>. Institute of Science and Technology Austria, 2023, doi:<a href="https://doi.org/10.15479/at:ista:12826">10.15479/at:ista:12826</a>.
  short: V. Pokusaeva, Neural Control of Optic Flow-Based Navigation in Drosophila
    Melanogaster, Institute of Science and Technology Austria, 2023.
date_created: 2023-04-14T14:56:04Z
date_published: 2023-04-18T00:00:00Z
date_updated: 2023-06-23T09:47:36Z
day: '18'
ddc:
- '570'
- '571'
degree_awarded: PhD
department:
- _id: MaJö
- _id: GradSch
doi: 10.15479/at:ista:12826
ec_funded: 1
file:
- access_level: closed
  checksum: 5f589a9af025f7eeebfd0c186209913e
  content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
  creator: vpokusae
  date_created: 2023-04-20T09:14:38Z
  date_updated: 2023-04-20T09:26:51Z
  file_id: '12857'
  file_name: Thesis_Pokusaeva.docx
  file_size: 14507243
  relation: source_file
- access_level: open_access
  checksum: bbeed76db45a996b4c91a9abe12ce0ec
  content_type: application/pdf
  creator: vpokusae
  date_created: 2023-04-20T09:14:44Z
  date_updated: 2023-04-20T09:14:44Z
  file_id: '12858'
  file_name: Thesis_Pokusaeva.pdf
  file_size: 10090711
  relation: main_file
  success: 1
file_date_updated: 2023-04-20T09:26:51Z
has_accepted_license: '1'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: '106'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
publication_identifier:
  issn:
  - 2663 - 337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Maximilian A
  full_name: Jösch, Maximilian A
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
title: Neural control of optic flow-based navigation in Drosophila melanogaster
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '12846'
abstract:
- lang: eng
  text: We present a formula for the signed area of a spherical polygon via prequantization.
    In contrast to the traditional formula based on the Gauss-Bonnet theorem that
    requires measuring angles, the new formula mimics Green's theorem and is applicable
    to a wider range of degenerate spherical curves and polygons.
acknowledgement: The authors acknowledge Chris Wojtan for his continuous support to
  the present work through discussions and advice. The second author thanks Anna Sisak
  for a fruitful discussion on prequantum bundles. This project was funded in part
  by the European Research Council (ERC Consolidator Grant 101045083 CoDiNA).
article_number: '2303.14555'
article_processing_charge: No
arxiv: 1
author:
- first_name: Albert
  full_name: Chern, Albert
  last_name: Chern
- first_name: Sadashige
  full_name: Ishida, Sadashige
  id: 6F7C4B96-A8E9-11E9-A7CA-09ECE5697425
  last_name: Ishida
citation:
  ama: Chern A, Ishida S. Area formula for spherical polygons via prequantization.
    <i>arXiv</i>. doi:<a href="https://doi.org/10.48550/arXiv.2303.14555">10.48550/arXiv.2303.14555</a>
  apa: Chern, A., &#38; Ishida, S. (n.d.). Area formula for spherical polygons via
    prequantization. <i>arXiv</i>. <a href="https://doi.org/10.48550/arXiv.2303.14555">https://doi.org/10.48550/arXiv.2303.14555</a>
  chicago: Chern, Albert, and Sadashige Ishida. “Area Formula for Spherical Polygons
    via Prequantization.” <i>ArXiv</i>, n.d. <a href="https://doi.org/10.48550/arXiv.2303.14555">https://doi.org/10.48550/arXiv.2303.14555</a>.
  ieee: A. Chern and S. Ishida, “Area formula for spherical polygons via prequantization,”
    <i>arXiv</i>. .
  ista: Chern A, Ishida S. Area formula for spherical polygons via prequantization.
    arXiv, 2303.14555.
  mla: Chern, Albert, and Sadashige Ishida. “Area Formula for Spherical Polygons via
    Prequantization.” <i>ArXiv</i>, 2303.14555, doi:<a href="https://doi.org/10.48550/arXiv.2303.14555">10.48550/arXiv.2303.14555</a>.
  short: A. Chern, S. Ishida, ArXiv (n.d.).
date_created: 2023-04-18T19:16:06Z
date_published: 2023-03-25T00:00:00Z
date_updated: 2023-04-25T06:51:21Z
day: '25'
department:
- _id: GradSch
- _id: ChWo
doi: 10.48550/arXiv.2303.14555
external_id:
  arxiv:
  - '2303.14555'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/2303.14555
month: '03'
oa: 1
oa_version: Preprint
project:
- _id: 34bc2376-11ca-11ed-8bc3-9a3b3961a088
  grant_number: '101045083'
  name: Computational Discovery of Numerical Algorithms for Animation and Simulation
    of Natural Phenomena
publication: arXiv
publication_status: submitted
status: public
title: Area formula for spherical polygons via prequantization
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '12859'
abstract:
- lang: eng
  text: 'Machine learning models are vulnerable to adversarial perturbations, and
    a thought-provoking paper by Bubeck and Sellke has analyzed this phenomenon through
    the lens of over-parameterization: interpolating smoothly the data requires significantly
    more parameters than simply memorizing it. However, this "universal" law provides
    only a necessary condition for robustness, and it is unable to discriminate between
    models. In this paper, we address these gaps by focusing on empirical risk minimization
    in two prototypical settings, namely, random features and the neural tangent kernel
    (NTK). We prove that, for random features, the model is not robust for any degree
    of over-parameterization, even when the necessary condition coming from the universal
    law of robustness is satisfied. In contrast, for even activations, the NTK model
    meets the universal lower bound, and it is robust as soon as the necessary condition
    on over-parameterization is fulfilled. This also addresses a conjecture in prior
    work by Bubeck, Li and Nagaraj. Our analysis decouples the effect of the kernel
    of the model from an "interaction matrix", which describes the interaction with
    the test data and captures the effect of the activation. Our theoretical results
    are corroborated by numerical evidence on both synthetic and standard datasets
    (MNIST, CIFAR-10).'
acknowledgement: "Simone Bombari and Marco Mondelli were partially supported by the
  2019 Lopez-Loreta prize, and\r\nthe authors would like to thank Hamed Hassani for
  helpful discussions.\r\n"
alternative_title:
- PMLR
article_processing_charge: No
arxiv: 1
author:
- first_name: Simone
  full_name: Bombari, Simone
  id: ca726dda-de17-11ea-bc14-f9da834f63aa
  last_name: Bombari
- first_name: Shayan
  full_name: Kiyani, Shayan
  id: f5a2b424-e339-11ed-8435-ff3b4fe70cf8
  last_name: Kiyani
- first_name: Marco
  full_name: Mondelli, Marco
  id: 27EB676C-8706-11E9-9510-7717E6697425
  last_name: Mondelli
  orcid: 0000-0002-3242-7020
citation:
  ama: 'Bombari S, Kiyani S, Mondelli M. Beyond the universal law of robustness: Sharper
    laws for random features and neural tangent kernels. In: <i>Proceedings of the
    40th International Conference on Machine Learning</i>. Vol 202. ML Research Press;
    2023:2738-2776.'
  apa: 'Bombari, S., Kiyani, S., &#38; Mondelli, M. (2023). Beyond the universal law
    of robustness: Sharper laws for random features and neural tangent kernels. In
    <i>Proceedings of the 40th International Conference on Machine Learning</i> (Vol.
    202, pp. 2738–2776). Honolulu, HI, United States: ML Research Press.'
  chicago: 'Bombari, Simone, Shayan Kiyani, and Marco Mondelli. “Beyond the Universal
    Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels.”
    In <i>Proceedings of the 40th International Conference on Machine Learning</i>,
    202:2738–76. ML Research Press, 2023.'
  ieee: 'S. Bombari, S. Kiyani, and M. Mondelli, “Beyond the universal law of robustness:
    Sharper laws for random features and neural tangent kernels,” in <i>Proceedings
    of the 40th International Conference on Machine Learning</i>, Honolulu, HI, United
    States, 2023, vol. 202, pp. 2738–2776.'
  ista: 'Bombari S, Kiyani S, Mondelli M. 2023. Beyond the universal law of robustness:
    Sharper laws for random features and neural tangent kernels. Proceedings of the
    40th International Conference on Machine Learning. ICML: International Conference
    on Machine Learning, PMLR, vol. 202, 2738–2776.'
  mla: 'Bombari, Simone, et al. “Beyond the Universal Law of Robustness: Sharper Laws
    for Random Features and Neural Tangent Kernels.” <i>Proceedings of the 40th International
    Conference on Machine Learning</i>, vol. 202, ML Research Press, 2023, pp. 2738–76.'
  short: S. Bombari, S. Kiyani, M. Mondelli, in:, Proceedings of the 40th International
    Conference on Machine Learning, ML Research Press, 2023, pp. 2738–2776.
conference:
  end_date: 2023-07-29
  location: Honolulu, HI, United States
  name: 'ICML: International Conference on Machine Learning'
  start_date: 2023-07-23
date_created: 2023-04-23T16:11:03Z
date_published: 2023-10-27T00:00:00Z
date_updated: 2024-09-10T13:03:19Z
day: '27'
department:
- _id: GradSch
- _id: MaMo
external_id:
  arxiv:
  - '2302.01629'
intvolume: '       202'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/2302.01629
month: '10'
oa: 1
oa_version: Preprint
page: 2738-2776
project:
- _id: 059876FA-7A3F-11EA-A408-12923DDC885E
  name: Prix Lopez-Loretta 2019 - Marco Mondelli
publication: Proceedings of the 40th International Conference on Machine Learning
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
related_material:
  link:
  - relation: software
    url: https://github.com/simone-bombari/beyond-universal-robustness
status: public
title: 'Beyond the universal law of robustness: Sharper laws for random features and
  neural tangent kernels'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 202
year: '2023'
...
---
_id: '12869'
abstract:
- lang: eng
  text: 'We introduce a stochastic cellular automaton as a model for culture and border
    formation. The model can be conceptualized as a game where the expansion rate
    of cultures is quantified in terms of their area and perimeter in such a way that
    approximately round cultures get a competitive advantage.  We first analyse the
    model  with periodic boundary conditions, where we study how the model can end
    up in a fixed state, i.e. freezes. Then we implement the model on the European
    geography with mountains and rivers. We see how the model reproduces some qualitative
    features of European culture formation, namely that rivers and mountains are more
    frequently borders between cultures, mountainous regions tend to have higher cultural
    diversity and the central European plain has less clear cultural borders. '
acknowledgement: 'FRK acknowledges support from the Villum Foundation for support
  through the QMATH center of Excellence (Grant No. 10059) and the Villum Young Investigator
  (Grant No. 25452) programs. '
article_processing_charge: No
author:
- first_name: Frederik Ravn
  full_name: Klausen, Frederik Ravn
  last_name: Klausen
- first_name: Asbjørn Bækgaard
  full_name: Lauritsen, Asbjørn Bækgaard
  id: e1a2682f-dc8d-11ea-abe3-81da9ac728f1
  last_name: Lauritsen
  orcid: 0000-0003-4476-2288
citation:
  ama: 'Klausen FR, Lauritsen AB. Research data for: A stochastic cellular automaton
    model of culture formation. 2023. doi:<a href="https://doi.org/10.15479/AT:ISTA:12869">10.15479/AT:ISTA:12869</a>'
  apa: 'Klausen, F. R., &#38; Lauritsen, A. B. (2023). Research data for: A stochastic
    cellular automaton model of culture formation. Institute of Science and Technology
    Austria. <a href="https://doi.org/10.15479/AT:ISTA:12869">https://doi.org/10.15479/AT:ISTA:12869</a>'
  chicago: 'Klausen, Frederik Ravn, and Asbjørn Bækgaard Lauritsen. “Research Data
    for: A Stochastic Cellular Automaton Model of Culture Formation.” Institute of
    Science and Technology Austria, 2023. <a href="https://doi.org/10.15479/AT:ISTA:12869">https://doi.org/10.15479/AT:ISTA:12869</a>.'
  ieee: 'F. R. Klausen and A. B. Lauritsen, “Research data for: A stochastic cellular
    automaton model of culture formation.” Institute of Science and Technology Austria,
    2023.'
  ista: 'Klausen FR, Lauritsen AB. 2023. Research data for: A stochastic cellular
    automaton model of culture formation, Institute of Science and Technology Austria,
    <a href="https://doi.org/10.15479/AT:ISTA:12869">10.15479/AT:ISTA:12869</a>.'
  mla: 'Klausen, Frederik Ravn, and Asbjørn Bækgaard Lauritsen. <i>Research Data for:
    A Stochastic Cellular Automaton Model of Culture Formation</i>. Institute of Science
    and Technology Austria, 2023, doi:<a href="https://doi.org/10.15479/AT:ISTA:12869">10.15479/AT:ISTA:12869</a>.'
  short: F.R. Klausen, A.B. Lauritsen, (2023).
date_created: 2023-04-26T12:34:49Z
date_published: 2023-04-26T00:00:00Z
date_updated: 2023-11-13T07:47:29Z
day: '26'
ddc:
- '000'
department:
- _id: GradSch
- _id: RoSe
doi: 10.15479/AT:ISTA:12869
file:
- access_level: open_access
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has_accepted_license: '1'
license: https://creativecommons.org/publicdomain/zero/1.0/
month: '04'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '14505'
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    status: for_moderation
  - id: '12890'
    relation: used_in_publication
    status: public
status: public
title: 'Research data for: A stochastic cellular automaton model of culture formation'
tmp:
  image: /images/cc_0.png
  legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
  name: Creative Commons Public Domain Dedication (CC0 1.0)
  short: CC0 (1.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '12885'
abstract:
- lang: eng
  text: 'High-performance semiconductors rely upon precise control of heat and charge
    transport. This can be achieved by precisely engineering defects in polycrystalline
    solids. There are multiple approaches to preparing such polycrystalline semiconductors,
    and the transformation of solution-processed colloidal nanoparticles is appealing
    because colloidal nanoparticles combine low cost with structural and compositional
    tunability along with rich surface chemistry. However, the multiple processes
    from nanoparticle synthesis to the final bulk nanocomposites are very complex.
    They involve nanoparticle purification, post-synthetic modifications, and finally
    consolidation (thermal treatments and densification). All these properties dictate
    the final material’s composition and microstructure, ultimately affecting its
    functional properties. This thesis explores the synthesis, surface chemistry and
    consolidation of colloidal semiconductor nanoparticles into dense solids. In particular,
    the transformations that take place during these processes, and their effect on
    the material’s transport properties are evaluated. '
acknowledged_ssus:
- _id: EM-Fac
- _id: NanoFab
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Mariano
  full_name: Calcabrini, Mariano
  id: 45D7531A-F248-11E8-B48F-1D18A9856A87
  last_name: Calcabrini
  orcid: 0000-0003-4566-5877
citation:
  ama: 'Calcabrini M. Nanoparticle-based semiconductor solids: From synthesis to consolidation.
    2023. doi:<a href="https://doi.org/10.15479/at:ista:12885">10.15479/at:ista:12885</a>'
  apa: 'Calcabrini, M. (2023). <i>Nanoparticle-based semiconductor solids: From synthesis
    to consolidation</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:12885">https://doi.org/10.15479/at:ista:12885</a>'
  chicago: 'Calcabrini, Mariano. “Nanoparticle-Based Semiconductor Solids: From Synthesis
    to Consolidation.” Institute of Science and Technology Austria, 2023. <a href="https://doi.org/10.15479/at:ista:12885">https://doi.org/10.15479/at:ista:12885</a>.'
  ieee: 'M. Calcabrini, “Nanoparticle-based semiconductor solids: From synthesis to
    consolidation,” Institute of Science and Technology Austria, 2023.'
  ista: 'Calcabrini M. 2023. Nanoparticle-based semiconductor solids: From synthesis
    to consolidation. Institute of Science and Technology Austria.'
  mla: 'Calcabrini, Mariano. <i>Nanoparticle-Based Semiconductor Solids: From Synthesis
    to Consolidation</i>. Institute of Science and Technology Austria, 2023, doi:<a
    href="https://doi.org/10.15479/at:ista:12885">10.15479/at:ista:12885</a>.'
  short: 'M. Calcabrini, Nanoparticle-Based Semiconductor Solids: From Synthesis to
    Consolidation, Institute of Science and Technology Austria, 2023.'
date_created: 2023-05-02T07:58:57Z
date_published: 2023-04-28T00:00:00Z
date_updated: 2023-08-14T07:25:26Z
day: '28'
ddc:
- '546'
- '541'
degree_awarded: PhD
department:
- _id: GradSch
- _id: MaIb
doi: 10.15479/at:ista:12885
ec_funded: 1
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file_date_updated: 2023-05-02T07:43:18Z
has_accepted_license: '1'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: '82'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
publication_identifier:
  isbn:
  - 978-3-99078-028-2
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '10806'
    relation: part_of_dissertation
    status: public
  - id: '10042'
    relation: part_of_dissertation
    status: public
  - id: '12237'
    relation: part_of_dissertation
    status: public
  - id: '9118'
    relation: part_of_dissertation
    status: public
  - id: '10123'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Maria
  full_name: Ibáñez, Maria
  id: 43C61214-F248-11E8-B48F-1D18A9856A87
  last_name: Ibáñez
  orcid: 0000-0001-5013-2843
title: 'Nanoparticle-based semiconductor solids: From synthesis to consolidation'
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '12890'
abstract:
- lang: eng
  text: We introduce a stochastic cellular automaton as a model for culture and border
    formation. The model can be conceptualized as a game where the expansion rate
    of cultures is quantified in terms of their area and perimeter in such a way that
    approximately geometrically round cultures get a competitive advantage. We first
    analyze the model with periodic boundary conditions, where we study how the model
    can end up in a fixed state, i.e., freezes. Then we implement the model on the
    European geography with mountains and rivers. We see how the model reproduces
    some qualitative features of European culture formation, namely, that rivers and
    mountains are more frequently borders between cultures, mountainous regions tend
    to have higher cultural diversity, and the central European plain has less clear
    cultural borders.
acknowledgement: Thanks to Kim Sneppen, Svend Krøjer, Peter Wildemann, Peter Rasmussen
  and Kent Bækgaard Lauritsen for discussions and suggestions. FRK acknowledges support
  from the Villum Foundation for support through the QMATH center of Excellence (Grant
  No. 10059) and the Villum Young Investigator (Grant No. 25452) programs.
article_number: '054307'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Frederik Ravn
  full_name: Klausen, Frederik Ravn
  last_name: Klausen
- first_name: Asbjørn Bækgaard
  full_name: Lauritsen, Asbjørn Bækgaard
  id: e1a2682f-dc8d-11ea-abe3-81da9ac728f1
  last_name: Lauritsen
  orcid: 0000-0003-4476-2288
citation:
  ama: Klausen FR, Lauritsen AB. Stochastic cellular automaton model of culture formation.
    <i>Physical Review E</i>. 2023;108(5). doi:<a href="https://doi.org/10.1103/PhysRevE.108.054307">10.1103/PhysRevE.108.054307</a>
  apa: Klausen, F. R., &#38; Lauritsen, A. B. (2023). Stochastic cellular automaton
    model of culture formation. <i>Physical Review E</i>. American Physical Society.
    <a href="https://doi.org/10.1103/PhysRevE.108.054307">https://doi.org/10.1103/PhysRevE.108.054307</a>
  chicago: Klausen, Frederik Ravn, and Asbjørn Bækgaard Lauritsen. “Stochastic Cellular
    Automaton Model of Culture Formation.” <i>Physical Review E</i>. American Physical
    Society, 2023. <a href="https://doi.org/10.1103/PhysRevE.108.054307">https://doi.org/10.1103/PhysRevE.108.054307</a>.
  ieee: F. R. Klausen and A. B. Lauritsen, “Stochastic cellular automaton model of
    culture formation,” <i>Physical Review E</i>, vol. 108, no. 5. American Physical
    Society, 2023.
  ista: Klausen FR, Lauritsen AB. 2023. Stochastic cellular automaton model of culture
    formation. Physical Review E. 108(5), 054307.
  mla: Klausen, Frederik Ravn, and Asbjørn Bækgaard Lauritsen. “Stochastic Cellular
    Automaton Model of Culture Formation.” <i>Physical Review E</i>, vol. 108, no.
    5, 054307, American Physical Society, 2023, doi:<a href="https://doi.org/10.1103/PhysRevE.108.054307">10.1103/PhysRevE.108.054307</a>.
  short: F.R. Klausen, A.B. Lauritsen, Physical Review E 108 (2023).
date_created: 2023-05-04T08:35:01Z
date_published: 2023-11-08T00:00:00Z
date_updated: 2023-11-13T07:47:30Z
day: '08'
department:
- _id: GradSch
- _id: RoSe
doi: 10.1103/PhysRevE.108.054307
external_id:
  arxiv:
  - '2305.02153'
intvolume: '       108'
issue: '5'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2305.02153
month: '11'
oa: 1
oa_version: Preprint
publication: Physical Review E
publication_identifier:
  eissn:
  - 2470-0053
  issn:
  - 2470-0045
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
related_material:
  link:
  - relation: software
    url: https://github.com/FrederikRavnKlausen/model-for-culture-formation
  record:
  - id: '12869'
    relation: research_data
    status: public
scopus_import: '1'
status: public
title: Stochastic cellular automaton model of culture formation
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 108
year: '2023'
...
---
_id: '12891'
abstract:
- lang: eng
  text: "The tight spatiotemporal coordination of signaling activity determining embryo\r\npatterning
    and the physical processes driving embryo morphogenesis renders\r\nembryonic development
    robust, such that key developmental processes can unfold\r\nrelatively normally
    even outside of the full embryonic context. For instance, embryonic\r\nstem cell
    cultures can recapitulate the hallmarks of gastrulation, i.e. break symmetry\r\nleading
    to germ layer formation and morphogenesis, in a very reduced environment.\r\nThis
    leads to questions on specific contributions of embryo-specific features, such
    as\r\nthe presence of extraembryonic tissues, which are inherently involved in
    gastrulation\r\nin the full embryonic context. To address this, we established
    zebrafish embryonic\r\nexplants without the extraembryonic yolk cell, an important
    player as a signaling\r\nsource and for morphogenesis during gastrulation, as
    a model of ex vivo development.\r\nWe found that dorsal-marginal determinants
    are required and sufficient in these\r\nexplants to form and pattern all three
    germ layers. However, formation of tissues,\r\nwhich require the highest Nodal-signaling
    levels, is variable, demonstrating a\r\ncontribution of extraembryonic tissues
    for reaching peak Nodal signaling levels.\r\nBlastoderm explants also undergo
    gastrulation-like axis elongation. We found that this\r\nelongation movement shows
    hallmarks of oriented mesendoderm cell intercalations\r\ntypically associated
    with dorsal tissues in the intact embryo. These are disrupted by\r\nuniform upregulation
    of BMP signaling activity and concomitant explant ventralization,\r\nsuggesting
    that tight spatial control of BMP signaling is a prerequisite for explant\r\nmorphogenesis.
    This control is achieved by Nodal signaling, which is critical for\r\neffectively
    downregulating BMP signaling in the mesendoderm, highlighting that Nodal\r\nsignaling
    is not only directly required for mesendoderm cell fate specification and\r\nmorphogenesis,
    but also by maintaining low levels of BMP signaling at the dorsal side.\r\nCollectively,
    we provide insights into the capacity and organization of signaling and\r\nmorphogenetic
    domains to recapitulate features of zebrafish gastrulation outside of\r\nthe full
    embryonic context."
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Alexandra
  full_name: Schauer, Alexandra
  id: 30A536BA-F248-11E8-B48F-1D18A9856A87
  last_name: Schauer
  orcid: 0000-0001-7659-9142
citation:
  ama: 'Schauer A. Mesendoderm formation in zebrafish gastrulation: The role of extraembryonic
    tissues. 2023. doi:<a href="https://doi.org/10.15479/at:ista:12891">10.15479/at:ista:12891</a>'
  apa: 'Schauer, A. (2023). <i>Mesendoderm formation in zebrafish gastrulation: The
    role of extraembryonic tissues</i>. Institute of Science and Technology Austria.
    <a href="https://doi.org/10.15479/at:ista:12891">https://doi.org/10.15479/at:ista:12891</a>'
  chicago: 'Schauer, Alexandra. “Mesendoderm Formation in Zebrafish Gastrulation:
    The Role of Extraembryonic Tissues.” Institute of Science and Technology Austria,
    2023. <a href="https://doi.org/10.15479/at:ista:12891">https://doi.org/10.15479/at:ista:12891</a>.'
  ieee: 'A. Schauer, “Mesendoderm formation in zebrafish gastrulation: The role of
    extraembryonic tissues,” Institute of Science and Technology Austria, 2023.'
  ista: 'Schauer A. 2023. Mesendoderm formation in zebrafish gastrulation: The role
    of extraembryonic tissues. Institute of Science and Technology Austria.'
  mla: 'Schauer, Alexandra. <i>Mesendoderm Formation in Zebrafish Gastrulation: The
    Role of Extraembryonic Tissues</i>. Institute of Science and Technology Austria,
    2023, doi:<a href="https://doi.org/10.15479/at:ista:12891">10.15479/at:ista:12891</a>.'
  short: 'A. Schauer, Mesendoderm Formation in Zebrafish Gastrulation: The Role of
    Extraembryonic Tissues, Institute of Science and Technology Austria, 2023.'
date_created: 2023-05-05T08:48:20Z
date_published: 2023-05-05T00:00:00Z
date_updated: 2023-08-21T06:25:48Z
day: '05'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: CaHe
doi: 10.15479/at:ista:12891
ec_funded: 1
file:
- access_level: closed
  checksum: 59b0303dc483f40a96a610a90aab7ee9
  content_type: application/pdf
  creator: aschauer
  date_created: 2023-05-05T13:01:14Z
  date_updated: 2023-05-05T13:01:14Z
  embargo: 2024-05-05
  embargo_to: open_access
  file_id: '12907'
  file_name: Thesis_Schauer_final.pdf
  file_size: 31434230
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  creator: aschauer
  date_created: 2023-05-05T13:04:15Z
  date_updated: 2023-05-05T13:04:15Z
  file_id: '12908'
  file_name: Thesis_Schauer_final.docx
  file_size: 43809109
  relation: source_file
file_date_updated: 2023-05-05T13:04:15Z
has_accepted_license: '1'
language:
- iso: eng
month: '05'
oa_version: Published Version
page: '190'
project:
- _id: 260F1432-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '742573'
  name: Interaction and feedback between cell mechanics and fate specification in
    vertebrate gastrulation
- _id: 26B1E39C-B435-11E9-9278-68D0E5697425
  grant_number: '25239'
  name: 'Mesendoderm specification in zebrafish: The role of extraembryonic tissues'
publication_identifier:
  issn:
  - 2663 - 337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '8966'
    relation: part_of_dissertation
    status: public
  - id: '7888'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Carl-Philipp J
  full_name: Heisenberg, Carl-Philipp J
  id: 39427864-F248-11E8-B48F-1D18A9856A87
  last_name: Heisenberg
  orcid: 0000-0002-0912-4566
title: 'Mesendoderm formation in zebrafish gastrulation: The role of extraembryonic
  tissues'
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '12897'
abstract:
- lang: eng
  text: "Inverse design problems in fabrication-aware shape optimization are typically
    solved on discrete representations such as polygonal meshes. This thesis argues
    that there are benefits to treating these problems in the same domain as human
    designers, namely, the parametric one. One reason is that discretizing a parametric
    model usually removes the capability of making further manual changes to the design,
    because the human intent is captured by the shape parameters. Beyond this, knowledge
    about a design problem can sometimes reveal a structure that is present in a smooth
    representation, but is fundamentally altered by discretizing. In this case, working
    in the parametric domain may even simplify the optimization task. We present two
    lines of research that explore both of these aspects of fabrication-aware shape
    optimization on parametric representations.\r\n\r\nThe first project studies the
    design of plane elastic curves and Kirchhoff rods, which are common mathematical
    models for describing the deformation of thin elastic rods such as beams, ribbons,
    cables, and hair. Our main contribution is a characterization of all curved shapes
    that can be attained by bending and twisting elastic rods having a stiffness that
    is allowed to vary across the length. Elements like these can be manufactured
    using digital fabrication devices such as 3d printers and digital cutters, and
    have applications in free-form architecture and soft robotics.\r\n\r\nWe show
    that the family of curved shapes that can be produced this way admits geometric
    description that is concise and computationally convenient. In the case of plane
    curves, the geometric description is intuitive enough to allow a designer to determine
    whether a curved shape is physically achievable by visual inspection alone. We
    also present shape optimization algorithms that convert a user-defined curve in
    the plane or in three dimensions into the geometry of an elastic rod that will
    naturally deform to follow this curve when its endpoints are attached to a support
    structure. Implemented in an interactive software design tool, the rod geometry
    is generated in real time as the user edits a curve and enables fast prototyping.
    \r\n\r\nThe second project tackles the problem of general-purpose shape optimization
    on CAD models using a novel variant of the extended finite element method (XFEM).
    Our goal is the decoupling between the simulation mesh and the CAD model, so no
    geometry-dependent meshing or remeshing needs to be performed when the CAD parameters
    change during optimization. This is achieved by discretizing the embedding space
    of the CAD model, and using a new high-accuracy numerical integration method to
    enable XFEM on free-form elements bounded by the parametric surface patches of
    the model. Our simulation is differentiable from the CAD parameters to the simulation
    output, which enables us to use off-the-shelf gradient-based optimization procedures.
    The result is a method that fits seamlessly into the CAD workflow because it works
    on the same representation as the designer, enabling the alternation of manual
    editing and fabrication-aware optimization at will."
acknowledged_ssus:
- _id: M-Shop
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Christian
  full_name: Hafner, Christian
  id: 400429CC-F248-11E8-B48F-1D18A9856A87
  last_name: Hafner
citation:
  ama: 'Hafner C. Inverse shape design with parametric representations: Kirchhoff
    Rods and parametric surface models. 2023. doi:<a href="https://doi.org/10.15479/at:ista:12897">10.15479/at:ista:12897</a>'
  apa: 'Hafner, C. (2023). <i>Inverse shape design with parametric representations:
    Kirchhoff Rods and parametric surface models</i>. Institute of Science and Technology
    Austria. <a href="https://doi.org/10.15479/at:ista:12897">https://doi.org/10.15479/at:ista:12897</a>'
  chicago: 'Hafner, Christian. “Inverse Shape Design with Parametric Representations:
    Kirchhoff Rods and Parametric Surface Models.” Institute of Science and Technology
    Austria, 2023. <a href="https://doi.org/10.15479/at:ista:12897">https://doi.org/10.15479/at:ista:12897</a>.'
  ieee: 'C. Hafner, “Inverse shape design with parametric representations: Kirchhoff
    Rods and parametric surface models,” Institute of Science and Technology Austria,
    2023.'
  ista: 'Hafner C. 2023. Inverse shape design with parametric representations: Kirchhoff
    Rods and parametric surface models. Institute of Science and Technology Austria.'
  mla: 'Hafner, Christian. <i>Inverse Shape Design with Parametric Representations:
    Kirchhoff Rods and Parametric Surface Models</i>. Institute of Science and Technology
    Austria, 2023, doi:<a href="https://doi.org/10.15479/at:ista:12897">10.15479/at:ista:12897</a>.'
  short: 'C. Hafner, Inverse Shape Design with Parametric Representations: Kirchhoff
    Rods and Parametric Surface Models, Institute of Science and Technology Austria,
    2023.'
date_created: 2023-05-05T10:40:14Z
date_published: 2023-05-05T00:00:00Z
date_updated: 2024-01-29T10:47:51Z
day: '05'
ddc:
- '516'
- '004'
- '518'
- '531'
degree_awarded: PhD
department:
- _id: GradSch
- _id: BeBi
doi: 10.15479/at:ista:12897
ec_funded: 1
file:
- access_level: open_access
  checksum: cc2094e92fa27000b70eb4bfb76d6b5a
  content_type: application/pdf
  creator: chafner
  date_created: 2023-05-11T10:43:20Z
  date_updated: 2023-12-08T23:30:04Z
  embargo: 2023-12-07
  file_id: '12942'
  file_name: thesis-hafner-2023may11-a2b.pdf
  file_size: 50714445
  relation: main_file
- access_level: closed
  checksum: a6b51334be2b81672357b1549afab40c
  content_type: application/pdf
  creator: chafner
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  date_updated: 2023-12-08T23:30:04Z
  embargo_to: open_access
  file_id: '12943'
  file_name: thesis-release-form.pdf
  file_size: 265319
  relation: source_file
file_date_updated: 2023-12-08T23:30:04Z
has_accepted_license: '1'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: '180'
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '715767'
  name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
    Modeling'
publication_identifier:
  isbn:
  - 978-3-99078-031-2
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
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    relation: part_of_dissertation
    status: public
  - id: '7117'
    relation: part_of_dissertation
    status: public
  - id: '13188'
    relation: dissertation_contains
    status: public
status: public
supervisor:
- first_name: Bernd
  full_name: Bickel, Bernd
  id: 49876194-F248-11E8-B48F-1D18A9856A87
  last_name: Bickel
  orcid: 0000-0001-6511-9385
title: 'Inverse shape design with parametric representations: Kirchhoff Rods and parametric
  surface models'
type: dissertation
user_id: 400429CC-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '12900'
abstract:
- lang: eng
  text: "About a 100 years ago, we discovered that our universe is inherently noisy,
    that is, measuring any physical quantity with a precision beyond a certain point
    is not possible because of an omnipresent inherent noise. We call this - the quantum
    noise. Certain physical processes allow this quantum noise to get correlated in
    conjugate physical variables. These quantum correlations can be used to go beyond
    the potential of our inherently noisy universe and obtain a quantum advantage
    over the classical applications. \r\n\r\nQuantum noise being inherent also means
    that, at the fundamental level, the physical quantities are not well defined and
    therefore, objects can stay in multiple states at the same time. For example,
    the position of a particle not being well defined means that the particle is in
    multiple positions at the same time. About 4 decades ago, we started exploring
    the possibility of using objects which can be in multiple states at the same time
    to increase the dimensionality in computation. Thus, the field of quantum computing
    was born. We discovered that using quantum entanglement, a property closely related
    to quantum correlations, can be used to speed up computation of certain problems,
    such as factorisation of large numbers, faster than any known classical algorithm.
    Thus began the pursuit to make quantum computers a reality. \r\n\r\nTill date,
    we have explored quantum control over many physical systems including photons,
    spins, atoms, ions and even simple circuits made up of superconducting material.
    However, there persists one ubiquitous theme. The more readily a system interacts
    with an external field or matter, the more easily we can control it. But this
    also means that such a system can easily interact with a noisy environment and
    quickly lose its coherence. Consequently, such systems like electron spins need
    to be protected from the environment to ensure the longevity of their coherence.
    Other systems like nuclear spins are naturally protected as they do not interact
    easily with the environment. But, due to the same reason, it is harder to interact
    with such systems. \r\n\r\nAfter decades of experimentation with various systems,
    we are convinced that no one type of quantum system would be the best for all
    the quantum applications. We would need hybrid systems which are all interconnected
    - much like the current internet where all sorts of devices can all talk to each
    other - but now for quantum devices. A quantum internet. \r\n\r\nOptical photons
    are the best contenders to carry information for the quantum internet. They can
    carry quantum information cheaply and without much loss - the same reasons which
    has made them the backbone of our current internet. Following this direction,
    many systems, like trapped ions, have already demonstrated successful quantum
    links over a large distances using optical photons. However, some of the most
    promising contenders for quantum computing which are based on microwave frequencies
    have been left behind. This is because high energy optical photons can adversely
    affect fragile low-energy microwave systems. \r\n\r\nIn this thesis, we present
    substantial progress on this missing quantum link between microwave and optics
    using electrooptical nonlinearities in lithium niobate. The nonlinearities are
    enhanced by using resonant cavities for all the involved modes leading to observation
    of strong direct coupling between optical and microwave frequencies. With this
    strong coupling we are not only able to achieve almost 100\\% internal conversion
    efficiency with low added noise, thus presenting a quantum-enabled transducer,
    but also we are able to observe novel effects such as cooling of a microwave mode
    using optics. The strong coupling regime also leads to direct observation of dynamical
    backaction effect between microwave and optical frequencies which are studied
    in detail here. Finally, we also report first observation of microwave-optics
    entanglement in form of two-mode squeezed vacuum squeezed 0.7dB below vacuum level.
    \r\nWith this new bridge between microwave and optics, the microwave-based quantum
    technologies can finally be a part of a quantum network which is based on optical
    photons - putting us one step closer to a future with quantum internet. "
acknowledged_ssus:
- _id: M-Shop
- _id: SSU
- _id: NanoFab
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Rishabh
  full_name: Sahu, Rishabh
  id: 47D26E34-F248-11E8-B48F-1D18A9856A87
  last_name: Sahu
  orcid: 0000-0001-6264-2162
citation:
  ama: Sahu R. Cavity quantum electrooptics. 2023. doi:<a href="https://doi.org/10.15479/at:ista:12900">10.15479/at:ista:12900</a>
  apa: Sahu, R. (2023). <i>Cavity quantum electrooptics</i>. Institute of Science
    and Technology Austria. <a href="https://doi.org/10.15479/at:ista:12900">https://doi.org/10.15479/at:ista:12900</a>
  chicago: Sahu, Rishabh. “Cavity Quantum Electrooptics.” Institute of Science and
    Technology Austria, 2023. <a href="https://doi.org/10.15479/at:ista:12900">https://doi.org/10.15479/at:ista:12900</a>.
  ieee: R. Sahu, “Cavity quantum electrooptics,” Institute of Science and Technology
    Austria, 2023.
  ista: Sahu R. 2023. Cavity quantum electrooptics. Institute of Science and Technology
    Austria.
  mla: Sahu, Rishabh. <i>Cavity Quantum Electrooptics</i>. Institute of Science and
    Technology Austria, 2023, doi:<a href="https://doi.org/10.15479/at:ista:12900">10.15479/at:ista:12900</a>.
  short: R. Sahu, Cavity Quantum Electrooptics, Institute of Science and Technology
    Austria, 2023.
date_created: 2023-05-05T11:08:50Z
date_published: 2023-05-05T00:00:00Z
date_updated: 2024-10-29T09:11:05Z
day: '05'
ddc:
- '537'
- '535'
- '539'
degree_awarded: PhD
department:
- _id: GradSch
- _id: JoFi
doi: 10.15479/at:ista:12900
ec_funded: 1
file:
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  date_updated: 2023-06-06T22:30:03Z
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file_date_updated: 2023-07-06T11:37:40Z
has_accepted_license: '1'
keyword:
- quantum optics
- electrooptics
- quantum networks
- quantum communication
- transduction
language:
- iso: eng
month: '05'
oa_version: Published Version
page: '190'
project:
- _id: 26336814-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '758053'
  name: A Fiber Optic Transceiver for Superconducting Qubits
- _id: 9B868D20-BA93-11EA-9121-9846C619BF3A
  call_identifier: H2020
  grant_number: '899354'
  name: Quantum Local Area Networks with Superconducting Qubits
- _id: bdb108fd-d553-11ed-ba76-83dc74a9864f
  name: QUANTUM INFORMATION SYSTEMS BEYOND CLASSICAL CAPABILITIES / P5- Integration
    of Superconducting Quantum Circuits
publication_identifier:
  isbn:
  - 978-3-99078-030-5
  issn:
  - 2663 - 337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '9114'
    relation: part_of_dissertation
    status: public
  - id: '10924'
    relation: part_of_dissertation
    status: public
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    relation: new_edition
    status: public
status: public
supervisor:
- first_name: Johannes M
  full_name: Fink, Johannes M
  id: 4B591CBA-F248-11E8-B48F-1D18A9856A87
  last_name: Fink
  orcid: 0000-0001-8112-028X
title: Cavity quantum electrooptics
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  short: CC BY-NC-SA (4.0)
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '12933'
abstract:
- lang: eng
  text: Datasets of the publication "Sex-specific estimation of cis and trans regulation
    of gene expression in heads and gonads of Drosophila melanogaster".
article_processing_charge: No
author:
- first_name: Gemma
  full_name: Puixeu Sala, Gemma
  id: 33AB266C-F248-11E8-B48F-1D18A9856A87
  last_name: Puixeu Sala
  orcid: 0000-0001-8330-1754
citation:
  ama: 'Puixeu Sala G. Data from: Sex-specific estimation of cis and trans regulation
    of gene expression in heads and gonads of Drosophila melanogaster. 2023. doi:<a
    href="https://doi.org/10.15479/AT:ISTA:12933">10.15479/AT:ISTA:12933</a>'
  apa: 'Puixeu Sala, G. (2023). Data from: Sex-specific estimation of cis and trans
    regulation of gene expression in heads and gonads of Drosophila melanogaster.
    Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT:ISTA:12933">https://doi.org/10.15479/AT:ISTA:12933</a>'
  chicago: 'Puixeu Sala, Gemma. “Data from: Sex-Specific Estimation of Cis and Trans
    Regulation of Gene Expression in Heads and Gonads of Drosophila Melanogaster.”
    Institute of Science and Technology Austria, 2023. <a href="https://doi.org/10.15479/AT:ISTA:12933">https://doi.org/10.15479/AT:ISTA:12933</a>.'
  ieee: 'G. Puixeu Sala, “Data from: Sex-specific estimation of cis and trans regulation
    of gene expression in heads and gonads of Drosophila melanogaster.” Institute
    of Science and Technology Austria, 2023.'
  ista: 'Puixeu Sala G. 2023. Data from: Sex-specific estimation of cis and trans
    regulation of gene expression in heads and gonads of Drosophila melanogaster,
    Institute of Science and Technology Austria, <a href="https://doi.org/10.15479/AT:ISTA:12933">10.15479/AT:ISTA:12933</a>.'
  mla: 'Puixeu Sala, Gemma. <i>Data from: Sex-Specific Estimation of Cis and Trans
    Regulation of Gene Expression in Heads and Gonads of Drosophila Melanogaster</i>.
    Institute of Science and Technology Austria, 2023, doi:<a href="https://doi.org/10.15479/AT:ISTA:12933">10.15479/AT:ISTA:12933</a>.'
  short: G. Puixeu Sala, (2023).
contributor:
- first_name: Ariana
  id: 2A0848E2-F248-11E8-B48F-1D18A9856A87
  last_name: Macon
- first_name: Beatriz
  id: 49E1C5C6-F248-11E8-B48F-1D18A9856A87
  last_name: Vicoso
  orcid: 0000-0002-4579-8306
date_created: 2023-05-10T10:00:49Z
date_published: 2023-05-15T00:00:00Z
date_updated: 2023-12-13T12:15:36Z
day: '15'
ddc:
- '570'
department:
- _id: GradSch
- _id: NiBa
- _id: BeVi
doi: 10.15479/AT:ISTA:12933
file:
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  date_created: 2023-05-10T09:41:43Z
  date_updated: 2023-05-10T09:41:43Z
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  date_created: 2023-05-10T09:41:43Z
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  date_created: 2023-05-10T09:41:48Z
  date_updated: 2023-05-10T09:41:48Z
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  file_name: Dataset_S3.csv
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  creator: gpuixeus
  date_created: 2023-05-10T09:41:50Z
  date_updated: 2023-05-10T09:41:50Z
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  creator: gpuixeus
  date_created: 2023-05-11T12:50:18Z
  date_updated: 2023-05-11T12:50:18Z
  file_id: '12944'
  file_name: readme.txt
  file_size: 4566
  relation: main_file
  success: 1
file_date_updated: 2023-05-11T12:50:18Z
has_accepted_license: '1'
month: '05'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '14058'
    relation: used_in_publication
    status: public
  - id: '14077'
    relation: used_in_publication
    status: public
status: public
title: 'Data from: Sex-specific estimation of cis and trans regulation of gene expression
  in heads and gonads of Drosophila melanogaster'
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '12964'
abstract:
- lang: eng
  text: "Pattern formation is of great importance for its contribution across different
    biological behaviours. During developmental processes for example, patterns of
    chemical gradients are\r\nestablished to determine cell fate and complex tissue
    patterns emerge to define structures such\r\nas limbs and vascular networks. Patterns
    are also seen in collectively migrating groups, for\r\ninstance traveling waves
    of density emerging in moving animal flocks as well as collectively migrating
    cells and tissues. To what extent these biological patterns arise spontaneously
    through\r\nthe local interaction of individual constituents or are dictated by
    higher level instructions is\r\nstill an open question however there is evidence
    for the involvement of both types of process.\r\nWhere patterns arise spontaneously
    there is a long standing interest in how far the interplay\r\nof mechanics, e.g.
    force generation and deformation, and chemistry, e.g. gene regulation\r\nand signaling,
    contributes to the behaviour. This is because many systems are able to both\r\nchemically
    regulate mechanical force production and chemically sense mechanical deformation,\r\nforming
    mechano-chemical feedback loops which can potentially become unstable towards\r\nspatio
    and/or temporal patterning.\r\nWe work with experimental collaborators to investigate
    the possibility that this type of\r\ninteraction drives pattern formation in biological
    systems at different scales. We focus first on\r\ntissue-level ERK-density waves
    observed during the wound healing response across different\r\nsystems where many
    previous studies have proposed that patterns depend on polarized cell\r\nmigration
    and arise from a mechanical flocking-like mechanism. By combining theory with\r\nmechanical
    and optogenetic perturbation experiments on in vitro monolayers we instead find\r\nevidence
    for mechanochemical pattern formation involving only scalar bilateral feedbacks\r\nbetween
    ERK signaling and cell contraction. We perform further modeling and experiment\r\nto
    study how this instability couples with polar cell migration in order to produce
    a robust\r\nand efficient wound healing response. In a following chapter we implement
    ERK-density\r\ncoupling and cell migration in a 2D active vertex model to investigate
    the interaction of\r\nERK-density patterning with different tissue rheologies
    and find that the spatio-temporal\r\ndynamics are able to both locally and globally
    fluidize a tissue across the solid-fluid glass\r\ntransition. In a last chapter
    we move towards lower spatial scales in the context of subcellular\r\npatterning
    of the cell cytoskeleton where we investigate the transition between phases of\r\nspatially
    homogeneous temporal oscillations and chaotic spatio-temporal patterning in the\r\ndynamics
    of myosin and ROCK activities (a motor component of the actomyosin cytoskeleton\r\nand
    its activator). Experimental evidence supports an intrinsic chemical oscillator
    which we\r\nencode in a reaction model and couple to a contractile active gel
    description of the cell cortex.\r\nThe model exhibits phases of chemical oscillations
    and contractile spatial patterning which\r\nreproduce many features of the dynamics
    seen in Drosophila oocyte epithelia in vivo. However,\r\nadditional pharmacological
    perturbations to inhibit myosin contractility leaves the role of\r\ncontractile
    instability unclear. We discuss alternative hypotheses and investigate the possibility\r\nof
    reaction-diffusion instability."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Daniel R
  full_name: Boocock, Daniel R
  id: 453AF628-F248-11E8-B48F-1D18A9856A87
  last_name: Boocock
  orcid: 0000-0002-1585-2631
citation:
  ama: Boocock DR. Mechanochemical pattern formation across biological scales. 2023.
    doi:<a href="https://doi.org/10.15479/at:ista:12964">10.15479/at:ista:12964</a>
  apa: Boocock, D. R. (2023). <i>Mechanochemical pattern formation across biological
    scales</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:12964">https://doi.org/10.15479/at:ista:12964</a>
  chicago: Boocock, Daniel R. “Mechanochemical Pattern Formation across Biological
    Scales.” Institute of Science and Technology Austria, 2023. <a href="https://doi.org/10.15479/at:ista:12964">https://doi.org/10.15479/at:ista:12964</a>.
  ieee: D. R. Boocock, “Mechanochemical pattern formation across biological scales,”
    Institute of Science and Technology Austria, 2023.
  ista: Boocock DR. 2023. Mechanochemical pattern formation across biological scales.
    Institute of Science and Technology Austria.
  mla: Boocock, Daniel R. <i>Mechanochemical Pattern Formation across Biological Scales</i>.
    Institute of Science and Technology Austria, 2023, doi:<a href="https://doi.org/10.15479/at:ista:12964">10.15479/at:ista:12964</a>.
  short: D.R. Boocock, Mechanochemical Pattern Formation across Biological Scales,
    Institute of Science and Technology Austria, 2023.
date_created: 2023-05-15T14:52:36Z
date_published: 2023-05-17T00:00:00Z
date_updated: 2023-08-04T11:02:40Z
day: '17'
ddc:
- '530'
degree_awarded: PhD
department:
- _id: GradSch
- _id: EdHa
doi: 10.15479/at:ista:12964
ec_funded: 1
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  date_created: 2023-05-17T13:39:53Z
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file_date_updated: 2023-05-19T07:04:25Z
has_accepted_license: '1'
language:
- iso: eng
month: '05'
oa_version: Published Version
page: '146'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
publication_identifier:
  isbn:
  - 978-3-99078-032-9
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
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    status: public
status: public
supervisor:
- first_name: Edouard B
  full_name: Hannezo, Edouard B
  id: 3A9DB764-F248-11E8-B48F-1D18A9856A87
  last_name: Hannezo
  orcid: 0000-0001-6005-1561
title: Mechanochemical pattern formation across biological scales
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  short: CC BY-NC-SA (4.0)
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
