@article{9060,
  abstract     = {Molecular motors are essential to the living, generating fluctuations that boost transport and assist assembly. Active colloids, that consume energy to move, hold similar potential for man-made materials controlled by forces generated from within. Yet, their use as a powerhouse in materials science lacks. Here we show a massive acceleration of the annealing of a monolayer of passive beads by moderate addition of self-propelled microparticles. We rationalize our observations with a model of collisions that drive active fluctuations and activate the annealing. The experiment is quantitatively compared with Brownian dynamic simulations that further unveil a dynamical transition in the mechanism of annealing. Active dopants travel uniformly in the system or co-localize at the grain boundaries as a result of the persistence of their motion. Our findings uncover the potential of internal activity to control materials and lay the groundwork for the rise of materials science beyond equilibrium.},
  author       = {Ramananarivo, Sophie and Ducrot, Etienne and Palacci, Jérémie A},
  issn         = {2041-1723},
  journal      = {Nature Communications},
  keywords     = {General Biochemistry, Genetics and Molecular Biology, General Physics and Astronomy, General Chemistry},
  number       = {1},
  publisher    = {Springer Nature},
  title        = {{Activity-controlled annealing of colloidal monolayers}},
  doi          = {10.1038/s41467-019-11362-y},
  volume       = {10},
  year         = {2019},
}

@inproceedings{9261,
  abstract     = {Bending-active structures are able to efficiently produce complex curved shapes starting from flat panels. The desired deformation of the panels derives from the proper selection of their elastic properties. Optimized panels, called FlexMaps, are designed such that, once they are bent and assembled, the resulting static equilibrium configuration matches a desired input 3D shape. The FlexMaps elastic properties are controlled by locally varying spiraling geometric mesostructures, which are optimized in size and shape to match the global curvature (i.e., bending requests) of the target shape. The design pipeline starts from a quad mesh representing the input 3D shape, which defines the edge size and the total amount of spirals: every quad will embed one spiral. Then, an optimization algorithm tunes the geometry of the spirals by using a simplified pre-computed rod model. This rod model is derived from a non-linear regression algorithm which approximates the non-linear behavior of solid FEM spiral models subject to hundreds of load combinations. This innovative pipeline has been applied to the project of a lightweight plywood pavilion named FlexMaps Pavilion, which is a single-layer piecewise twisted arc that fits a bounding box of 3.90x3.96x3.25 meters.},
  author       = {Laccone, Francesco and Malomo, Luigi and Perez Rodriguez, Jesus and Pietroni, Nico and Ponchio, Federico and Bickel, Bernd and Cignoni, Paolo},
  booktitle    = {IASS Symposium 2019 - 60th Anniversary Symposium of the International Association for Shell and Spatial Structures; Structural Membranes 2019 - 9th International Conference on Textile Composites and Inflatable Structures, FORM and FORCE},
  isbn         = {9788412110104},
  issn         = {2518-6582},
  location     = {Barcelona, Spain},
  pages        = {509--515},
  publisher    = {International Center for Numerical Methods in Engineering},
  title        = {{FlexMaps Pavilion: A twisted arc made of mesostructured flat flexible panels}},
  year         = {2019},
}

@article{9460,
  abstract     = {Epigenetic reprogramming is required for proper regulation of gene expression in eukaryotic organisms. In Arabidopsis, active DNA demethylation is crucial for seed viability, pollen function, and successful reproduction. The DEMETER (DME) DNA glycosylase initiates localized DNA demethylation in vegetative and central cells, so-called companion cells that are adjacent to sperm and egg gametes, respectively. In rice, the central cell genome displays local DNA hypomethylation, suggesting that active DNA demethylation also occurs in rice; however, the enzyme responsible for this process is unknown. One candidate is the rice REPRESSOR OF SILENCING 1a (ROS1a) gene, which is related to DME and is essential for rice seed viability and pollen function. Here, we report genome-wide analyses of DNA methylation in wild-type and ros1a mutant sperm and vegetative cells. We find that the rice vegetative cell genome is locally hypomethylated compared with sperm by a process that requires ROS1a activity. We show that many ROS1a target sequences in the vegetative cell are hypomethylated in the rice central cell, suggesting that ROS1a also demethylates the central cell genome. Similar to Arabidopsis, we show that sperm non-CG methylation is indirectly promoted by DNA demethylation in the vegetative cell. These results reveal that DNA glycosylase-mediated DNA demethylation processes are conserved in Arabidopsis and rice, plant species that diverged 150 million years ago. Finally, although global non-CG methylation levels of sperm and egg differ, the maternal and paternal embryo genomes show similar non-CG methylation levels, suggesting that rice gamete genomes undergo dynamic DNA methylation reprogramming after cell fusion.},
  author       = {Kim, M. Yvonne and Ono, Akemi and Scholten, Stefan and Kinoshita, Tetsu and Zilberman, Daniel and Okamoto, Takashi and Fischer, Robert L.},
  issn         = {1091-6490},
  journal      = {Proceedings of the National Academy of Sciences},
  keywords     = {Multidisciplinary},
  number       = {19},
  pages        = {9652--9657},
  publisher    = {National Academy of Sciences},
  title        = {{DNA demethylation by ROS1a in rice vegetative cells promotes methylation in sperm}},
  doi          = {10.1073/pnas.1821435116},
  volume       = {116},
  year         = {2019},
}

@article{9530,
  abstract     = {Background
DNA methylation of active genes, also known as gene body methylation, is found in many animal and plant genomes. Despite this, the transcriptional and developmental role of such methylation remains poorly understood. Here, we explore the dynamic range of DNA methylation in honey bee, a model organism for gene body methylation.

Results
Our data show that CG methylation in gene bodies globally fluctuates during honey bee development. However, these changes cause no gene expression alterations. Intriguingly, despite the global alterations, tissue-specific CG methylation patterns of complete genes or exons are rare, implying robust maintenance of genic methylation during development. Additionally, we show that CG methylation maintenance fluctuates in somatic cells, while reaching maximum fidelity in sperm cells. Finally, unlike universally present CG methylation, we discovered non-CG methylation specifically in bee heads that resembles such methylation in mammalian brain tissue.

Conclusions
Based on these results, we propose that gene body CG methylation can oscillate during development if it is kept to a level adequate to preserve function. Additionally, our data suggest that heightened non-CG methylation is a conserved regulator of animal nervous systems.},
  author       = {Harris, Keith D. and Lloyd, James P. B. and Domb, Katherine and Zilberman, Daniel and Zemach, Assaf},
  issn         = {1756-8935},
  journal      = {Epigenetics and Chromatin},
  publisher    = {Springer Nature},
  title        = {{DNA methylation is maintained with high fidelity in the honey bee germline and exhibits global non-functional fluctuations during somatic development}},
  doi          = {10.1186/s13072-019-0307-4},
  volume       = {12},
  year         = {2019},
}

@article{9580,
  abstract     = {An r-cut of a k-uniform hypergraph H is a partition of the vertex set of H into r parts and the size of the cut is the number of edges which have a vertex in each part. A classical result of Edwards says that every m-edge graph has a 2-cut of size m/2+Ω)(m−−√) and this is best possible. That is, there exist cuts which exceed the expected size of a random cut by some multiple of the standard deviation. We study analogues of this and related results in hypergraphs. First, we observe that similarly to graphs, every m-edge k-uniform hypergraph has an r-cut whose size is Ω(m−−√) larger than the expected size of a random r-cut. Moreover, in the case where k = 3 and r = 2 this bound is best possible and is attained by Steiner triple systems. Surprisingly, for all other cases (that is, if k ≥ 4 or r ≥ 3), we show that every m-edge k-uniform hypergraph has an r-cut whose size is Ω(m5/9) larger than the expected size of a random r-cut. This is a significant difference in behaviour, since the amount by which the size of the largest cut exceeds the expected size of a random cut is now considerably larger than the standard deviation.},
  author       = {Conlon, David and Fox, Jacob and Kwan, Matthew Alan and Sudakov, Benny},
  issn         = {1565-8511},
  journal      = {Israel Journal of Mathematics},
  number       = {1},
  pages        = {67--111},
  publisher    = {Springer},
  title        = {{Hypergraph cuts above the average}},
  doi          = {10.1007/s11856-019-1897-z},
  volume       = {233},
  year         = {2019},
}

@article{9585,
  abstract     = {An n-vertex graph is called C-Ramsey if it has no clique or independent set of size C log n. All known constructions of Ramsey graphs involve randomness in an essential way, and there is an ongoing line of research towards showing that in fact all Ramsey graphs must obey certain “richness” properties characteristic of random graphs. More than 25 years ago, Erdős, Faudree and Sós conjectured that in any C-Ramsey graph there are Ω(n^5/2) induced subgraphs, no pair of which have the same numbers of vertices and edges. Improving on earlier results of Alon, Balogh, Kostochka and Samotij, in this paper we prove this conjecture.},
  author       = {Kwan, Matthew Alan and Sudakov, Benny},
  issn         = {1088-6850},
  journal      = {Transactions of the American Mathematical Society},
  number       = {8},
  pages        = {5571--5594},
  publisher    = {American Mathematical Society},
  title        = {{Proof of a conjecture on induced subgraphs of Ramsey graphs}},
  doi          = {10.1090/tran/7729},
  volume       = {372},
  year         = {2019},
}

@article{9586,
  abstract     = {Consider integers  𝑘,ℓ  such that  0⩽ℓ⩽(𝑘2) . Given a large graph  𝐺 , what is the fraction of  𝑘 -vertex subsets of  𝐺  which span exactly  ℓ  edges? When  𝐺  is empty or complete, and  ℓ  is zero or  (𝑘2) , this fraction can be exactly 1. On the other hand, if  ℓ  is far from these extreme values, one might expect that this fraction is substantially smaller than 1. This was recently proved by Alon, Hefetz, Krivelevich, and Tyomkyn who initiated the systematic study of this question and proposed several natural conjectures.
Let  ℓ∗=min{ℓ,(𝑘2)−ℓ} . Our main result is that for any  𝑘  and  ℓ , the fraction of  𝑘 -vertex subsets that span  ℓ  edges is at most  log𝑂(1)(ℓ∗/𝑘)√ 𝑘/ℓ∗, which is best-possible up to the logarithmic factor. This improves on multiple results of Alon, Hefetz, Krivelevich, and Tyomkyn, and resolves one of their conjectures. In addition, we also make some first steps towards some analogous questions for hypergraphs.
Our proofs involve some Ramsey-type arguments, and a number of different probabilistic tools, such as polynomial anticoncentration inequalities, hypercontractivity, and a coupling trick for random variables defined on a ‘slice’ of the Boolean hypercube.},
  author       = {Kwan, Matthew Alan and Sudakov, Benny and Tran, Tuan},
  issn         = {1469-7750},
  journal      = {Journal of the London Mathematical Society},
  number       = {3},
  pages        = {757--777},
  publisher    = {Wiley},
  title        = {{Anticoncentration for subgraph statistics}},
  doi          = {10.1112/jlms.12192},
  volume       = {99},
  year         = {2019},
}

@article{9677,
  abstract     = {Progress in the atomic-scale modeling of matter over the past decade has been tremendous. This progress has been brought about by improvements in methods for evaluating interatomic forces that work by either solving the electronic structure problem explicitly, or by computing accurate approximations of the solution and by the development of techniques that use the Born–Oppenheimer (BO) forces to move the atoms on the BO potential energy surface. As a consequence of these developments it is now possible to identify stable or metastable states, to sample configurations consistent with the appropriate thermodynamic ensemble, and to estimate the kinetics of reactions and phase transitions. All too often, however, progress is slowed down by the bottleneck associated with implementing new optimization algorithms and/or sampling techniques into the many existing electronic-structure and empirical-potential codes. To address this problem, we are thus releasing a new version of the i-PI software. This piece of software is an easily extensible framework for implementing advanced atomistic simulation techniques using interatomic potentials and forces calculated by an external driver code. While the original version of the code (Ceriotti et al., 2014) was developed with a focus on path integral molecular dynamics techniques, this second release of i-PI not only includes several new advanced path integral methods, but also offers other classes of algorithms. In other words, i-PI is moving towards becoming a universal force engine that is both modular and tightly coupled to the driver codes that evaluate the potential energy surface and its derivatives.},
  author       = {Kapil, Venkat and Rossi, Mariana and Marsalek, Ondrej and Petraglia, Riccardo and Litman, Yair and Spura, Thomas and Cheng, Bingqing and Cuzzocrea, Alice and Meißner, Robert H. and Wilkins, David M. and Helfrecht, Benjamin A. and Juda, Przemysław and Bienvenue, Sébastien P. and Fang, Wei and Kessler, Jan and Poltavsky, Igor and Vandenbrande, Steven and Wieme, Jelle and Corminboeuf, Clemence and Kühne, Thomas D. and Manolopoulos, David E. and Markland, Thomas E. and Richardson, Jeremy O. and Tkatchenko, Alexandre and Tribello, Gareth A. and Van Speybroeck, Veronique and Ceriotti, Michele},
  issn         = {0010-4655},
  journal      = {Computer Physics Communications},
  pages        = {214--223},
  publisher    = {Elsevier},
  title        = {{i-PI 2.0: A universal force engine for advanced molecular simulations}},
  doi          = {10.1016/j.cpc.2018.09.020},
  volume       = {236},
  year         = {2019},
}

@article{9680,
  abstract     = {Atomistic modeling of phase transitions, chemical reactions, or other rare events that involve overcoming high free energy barriers usually entails prohibitively long simulation times. Introducing a bias potential as a function of an appropriately chosen set of collective variables can significantly accelerate the exploration of phase space, albeit at the price of distorting the distribution of microstates. Efficient reweighting to recover the unbiased distribution can be nontrivial when employing adaptive sampling techniques such as metadynamics, variationally enhanced sampling, or parallel bias metadynamics, in which the system evolves in a quasi-equilibrium manner under a time-dependent bias. We introduce an iterative unbiasing scheme that makes efficient use of all the trajectory data and that does not require the distribution to be evaluated on a grid. The method can thus be used even when the bias has a high dimensionality. We benchmark this approach against some of the existing schemes on model systems with different complexity and dimensionality.},
  author       = {Giberti, F. and Cheng, Bingqing and Tribello, G. A. and Ceriotti, M.},
  issn         = {1549-9626},
  journal      = {Journal of Chemical Theory and Computation},
  number       = {1},
  pages        = {100--107},
  publisher    = {American Chemical Society},
  title        = {{Iterative unbiasing of quasi-equilibrium sampling}},
  doi          = {10.1021/acs.jctc.9b00907},
  volume       = {16},
  year         = {2019},
}

@article{9689,
  abstract     = {A central goal of computational physics and chemistry is to predict material properties by using first-principles methods based on the fundamental laws of quantum mechanics. However, the high computational costs of these methods typically prevent rigorous predictions of macroscopic quantities at finite temperatures, such as heat capacity, density, and chemical potential. Here, we enable such predictions by marrying advanced free-energy methods with data-driven machine-learning interatomic potentials. We show that, for the ubiquitous and technologically essential system of water, a first-principles thermodynamic description not only leads to excellent agreement with experiments, but also reveals the crucial role of nuclear quantum fluctuations in modulating the thermodynamic stabilities of different phases of water.},
  author       = {Cheng, Bingqing and Engel, Edgar A. and Behler, Jörg and Dellago, Christoph and Ceriotti, Michele},
  issn         = {1091-6490},
  journal      = {Proceedings of the National Academy of Sciences},
  number       = {4},
  pages        = {1110--1115},
  publisher    = {National Academy of Sciences},
  title        = {{Ab initio thermodynamics of liquid and solid water}},
  doi          = {10.1073/pnas.1815117116},
  volume       = {116},
  year         = {2019},
}

@unpublished{10065,
  abstract     = {We study double quantum dots in a Ge/SiGe heterostructure and test their maturity towards singlet-triplet ($S-T_0$) qubits. We demonstrate a large range of tunability, from two single quantum dots to a double quantum dot. We measure Pauli spin blockade and study the anisotropy of the $g$-factor. We use an adjacent quantum dot for sensing charge transitions in the double quantum dot at interest. In conclusion, Ge/SiGe possesses all ingredients necessary for building a singlet-triplet qubit.},
  author       = {Hofmann, Andrea C and Jirovec, Daniel and Borovkov, Maxim and Prieto Gonzalez, Ivan and Ballabio, Andrea and Frigerio, Jacopo and Chrastina, Daniel and Isella, Giovanni and Katsaros, Georgios},
  booktitle    = {arXiv},
  title        = {{Assessing the potential of Ge/SiGe quantum dots as hosts for singlet-triplet qubits}},
  doi          = {10.48550/arXiv.1910.05841},
  year         = {2019},
}

@inproceedings{10190,
  abstract     = {The verification of concurrent programs remains an open challenge, as thread interaction has to be accounted for, which leads to state-space explosion. Stateless model checking battles this problem by exploring traces rather than states of the program. As there are exponentially many traces, dynamic partial-order reduction (DPOR) techniques are used to partition the trace space into equivalence classes, and explore a few representatives from each class. The standard equivalence that underlies most DPOR techniques is the happens-before equivalence, however recent works have spawned a vivid interest towards coarser equivalences. The efficiency of such approaches is a product of two parameters: (i) the size of the partitioning induced by the equivalence, and (ii) the time spent by the exploration algorithm in each class of the partitioning. In this work, we present a new equivalence, called value-happens-before and show that it has two appealing features. First, value-happens-before is always at least as coarse as the happens-before equivalence, and can be even exponentially coarser. Second, the value-happens-before partitioning is efficiently explorable when the number of threads is bounded. We present an algorithm called value-centric DPOR (VCDPOR), which explores the underlying partitioning using polynomial time per class. Finally, we perform an experimental evaluation of VCDPOR on various benchmarks, and compare it against other state-of-the-art approaches. Our results show that value-happens-before typically induces a significant reduction in the size of the underlying partitioning, which leads to a considerable reduction in the running time for exploring the whole partitioning.},
  author       = {Chatterjee, Krishnendu and Pavlogiannis, Andreas and Toman, Viktor},
  booktitle    = {Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications},
  issn         = {2475-1421},
  keywords     = {safety, risk, reliability and quality, software},
  location     = {Athens, Greece},
  publisher    = {ACM},
  title        = {{Value-centric dynamic partial order reduction}},
  doi          = {10.1145/3360550},
  volume       = {3},
  year         = {2019},
}

@article{10354,
  abstract     = {Background
ESCRT-III is a membrane remodelling filament with the unique ability to cut membranes from the inside of the membrane neck. It is essential for the final stage of cell division, the formation of vesicles, the release of viruses, and membrane repair. Distinct from other cytoskeletal filaments, ESCRT-III filaments do not consume energy themselves, but work in conjunction with another ATP-consuming complex. Despite rapid progress in describing the cell biology of ESCRT-III, we lack an understanding of the physical mechanisms behind its force production and membrane remodelling.
Results
Here we present a minimal coarse-grained model that captures all the experimentally reported cases of ESCRT-III driven membrane sculpting, including the formation of downward and upward cones and tubules. This model suggests that a change in the geometry of membrane bound ESCRT-III filaments—from a flat spiral to a 3D helix—drives membrane deformation. We then show that such repetitive filament geometry transitions can induce the fission of cargo-containing vesicles.
Conclusions
Our model provides a general physical mechanism that explains the full range of ESCRT-III-dependent membrane remodelling and scission events observed in cells. This mechanism for filament force production is distinct from the mechanisms described for other cytoskeletal elements discovered so far. The mechanistic principles revealed here suggest new ways of manipulating ESCRT-III-driven processes in cells and could be used to guide the engineering of synthetic membrane-sculpting systems.},
  author       = {Harker-Kirschneck, Lena and Baum, Buzz and Šarić, Anđela},
  issn         = {1741-7007},
  journal      = {BMC Biology},
  keywords     = {cell biology},
  number       = {1},
  publisher    = {Springer Nature},
  title        = {{Changes in ESCRT-III filament geometry drive membrane remodelling and fission in silico}},
  doi          = {10.1186/s12915-019-0700-2},
  volume       = {17},
  year         = {2019},
}

@article{10355,
  abstract     = {The molecular machinery of life is largely created via self-organisation of individual molecules into functional assemblies. Minimal coarse-grained models, in which a whole macromolecule is represented by a small number of particles, can be of great value in identifying the main driving forces behind self-organisation in cell biology. Such models can incorporate data from both molecular and continuum scales, and their results can be directly compared to experiments. Here we review the state of the art of models for studying the formation and biological function of macromolecular assemblies in living organisms. We outline the key ingredients of each model and their main findings. We illustrate the contribution of this class of simulations to identifying the physical mechanisms behind life and diseases, and discuss their future developments.},
  author       = {Hafner, Anne E and Krausser, Johannes and Šarić, Anđela},
  issn         = {0959-440X},
  journal      = {Current Opinion in Structural Biology},
  keywords     = {molecular biology, structural biology},
  pages        = {43--52},
  publisher    = {Elsevier},
  title        = {{Minimal coarse-grained models for molecular self-organisation in biology}},
  doi          = {10.1016/j.sbi.2019.05.018},
  volume       = {58},
  year         = {2019},
}

@article{105,
  abstract     = {Clinical Utility Gene Card. 1. Name of Disease (Synonyms): Pontocerebellar hypoplasia type 9 (PCH9) and spastic paraplegia-63 (SPG63). 2. OMIM# of the Disease: 615809 and 615686. 3. Name of the Analysed Genes or DNA/Chromosome Segments: AMPD2 at 1p13.3. 4. OMIM# of the Gene(s): 102771.},
  author       = {Marsh, Ashley and Novarino, Gaia and Lockhart, Paul and Leventer, Richard},
  journal      = {European Journal of Human Genetics},
  pages        = {161--166},
  publisher    = {Springer Nature},
  title        = {{CUGC for pontocerebellar hypoplasia type 9 and spastic paraplegia-63}},
  doi          = {10.1038/s41431-018-0231-2},
  volume       = {27},
  year         = {2019},
}

@article{10619,
  abstract     = {The quantum anomalous Hall (QAH) effect combines topology and magnetism to produce precisely quantized Hall resistance at zero magnetic field. We report the observation of a QAH effect in twisted bilayer graphene aligned to hexagonal boron nitride. The effect is driven by intrinsic strong interactions, which polarize the electrons into a single spin- and valley-resolved moiré miniband with Chern number C = 1. In contrast to magnetically doped systems, the measured transport energy gap is larger than the Curie temperature for magnetic ordering, and quantization to within 0.1% of the von Klitzing constant persists to temperatures of several kelvin at zero magnetic field. Electrical currents as small as 1 nanoampere controllably switch the magnetic order between states of opposite polarization, forming an electrically rewritable magnetic memory.},
  author       = {Serlin, M. and Tschirhart, C. L. and Polshyn, Hryhoriy and Zhang, Y. and Zhu, J. and Watanabe, K. and Taniguchi, T. and Balents, L. and Young, A. F.},
  issn         = {1095-9203},
  journal      = {Science},
  keywords     = {multidisciplinary},
  number       = {6480},
  pages        = {900--903},
  publisher    = {American Association for the Advancement of Science},
  title        = {{Intrinsic quantized anomalous Hall effect in a moiré heterostructure}},
  doi          = {10.1126/science.aay5533},
  volume       = {367},
  year         = {2019},
}

@article{10620,
  abstract     = {Partially filled Landau levels host competing electronic orders. For example, electron solids may prevail close to integer filling of the Landau levels before giving way to fractional quantum Hall liquids at higher carrier density1,2. Here, we report the observation of an electron solid with non-collinear spin texture in monolayer graphene, consistent with solidification of skyrmions3—topological spin textures characterized by quantized electrical charge4,5. We probe the spin texture of the solids using a modified Corbino geometry that allows ferromagnetic magnons to be launched and detected6,7. We find that magnon transport is highly efficient when one Landau level is filled (ν=1), consistent with quantum Hall ferromagnetic spin polarization. However, even minimal doping immediately quenches the magnon signal while leaving the vanishing low-temperature charge conductivity unchanged. Our results can be understood by the formation of a solid of charged skyrmions near ν=1, whose non-collinear spin texture leads to rapid magnon decay. Data near fractional fillings show evidence of several fractional skyrmion solids, suggesting that graphene hosts a highly tunable landscape of coupled spin and charge orders.},
  author       = {Zhou, H. and Polshyn, Hryhoriy and Taniguchi, T. and Watanabe, K. and Young, A. F.},
  issn         = {1745-2481},
  journal      = {Nature Physics},
  keywords     = {General Physics and Astronomy},
  number       = {2},
  pages        = {154--158},
  publisher    = {Springer Nature},
  title        = {{Solids of quantum Hall skyrmions in graphene}},
  doi          = {10.1038/s41567-019-0729-8},
  volume       = {16},
  year         = {2019},
}

@article{10621,
  abstract     = {Twisted bilayer graphene has recently emerged as a platform for hosting correlated phenomena. For twist angles near θ ≈ 1.1°, the low-energy electronic structure of twisted bilayer graphene features isolated bands with a flat dispersion1,2. Recent experiments have observed a variety of low-temperature phases that appear to be driven by electron interactions, including insulating states, superconductivity and magnetism3,4,5,6. Here we report electrical transport measurements up to room temperature for twist angles varying between 0.75° and 2°. We find that the resistivity, ρ, scales linearly with temperature, T, over a wide range of T before falling again owing to interband activation. The T-linear response is much larger than observed in monolayer graphene for all measured devices, and in particular increases by more than three orders of magnitude in the range where the flat band exists. Our results point to the dominant role of electron–phonon scattering in twisted bilayer graphene, with possible implications for the origin of the observed superconductivity.},
  author       = {Polshyn, Hryhoriy and Yankowitz, Matthew and Chen, Shaowen and Zhang, Yuxuan and Watanabe, K. and Taniguchi, T. and Dean, Cory R. and Young, Andrea F.},
  issn         = {1745-2481},
  journal      = {Nature Physics},
  keywords     = {general physics and astronomy},
  number       = {10},
  pages        = {1011--1016},
  publisher    = {Springer Nature},
  title        = {{Large linear-in-temperature resistivity in twisted bilayer graphene}},
  doi          = {10.1038/s41567-019-0596-3},
  volume       = {15},
  year         = {2019},
}

@article{10622,
  abstract     = {We demonstrate a method for manipulating small ensembles of vortices in multiply connected superconducting structures. A micron-size magnetic particle attached to the tip of a silicon cantilever is used to locally apply magnetic flux through the superconducting structure. By scanning the tip over the surface of the device and by utilizing the dynamical coupling between the vortices and the cantilever, a high-resolution spatial map of the different vortex configurations is obtained. Moving the tip to a particular location in the map stabilizes a distinct multivortex configuration. Thus, the scanning of the tip over a particular trajectory in space permits nontrivial operations to be performed, such as braiding of individual vortices within a larger vortex ensemble—a key capability required by many proposals for topological quantum computing.},
  author       = {Polshyn, Hryhoriy and Naibert, Tyler and Budakian, Raffi},
  issn         = {1530-6992},
  journal      = {Nano Letters},
  keywords     = {mechanical engineering, condensed matter physics, general materials science, general chemistry, bioengineering},
  number       = {8},
  pages        = {5476--5482},
  publisher    = {American Chemical Society},
  title        = {{Manipulating multivortex states in superconducting structures}},
  doi          = {10.1021/acs.nanolett.9b01983},
  volume       = {19},
  year         = {2019},
}

@article{10625,
  abstract     = {The discovery of superconductivity and exotic insulating phases in twisted bilayer graphene has established this material as a model system of strongly correlated electrons. To achieve superconductivity, the two layers of graphene need to be at a very precise angle with respect to each other. Yankowitz et al. now show that another experimental knob, hydrostatic pressure, can be used to tune the phase diagram of twisted bilayer graphene (see the Perspective by Feldman). Applying pressure increased the coupling between the layers, which shifted the superconducting transition to higher angles and somewhat higher temperatures.},
  author       = {Yankowitz, Matthew and Chen, Shaowen and Polshyn, Hryhoriy and Zhang, Yuxuan and Watanabe, K. and Taniguchi, T. and Graf, David and Young, Andrea F. and Dean, Cory R.},
  issn         = {1095-9203},
  journal      = {Science},
  keywords     = {multidisciplinary},
  number       = {6431},
  pages        = {1059--1064},
  publisher    = {American Association for the Advancement of Science (AAAS)},
  title        = {{Tuning superconductivity in twisted bilayer graphene}},
  doi          = {10.1126/science.aav1910},
  volume       = {363},
  year         = {2019},
}

