[{"scopus_import":"1","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","acknowledgement":"This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 805223 ScaleML). Also, we would like to thank Alexander Shevchenko, Alexandra Peste, and other members of the group for fruitful discussions.","oa":1,"intvolume":"        33","volume":33,"main_file_link":[{"url":"https://proceedings.neurips.cc/paper/2020/hash/d1ff1ec86b62cd5f3903ff19c3a326b2-Abstract.html","open_access":"1"}],"project":[{"name":"Elastic Coordination for Scalable Machine Learning","_id":"268A44D6-B435-11E9-9278-68D0E5697425","grant_number":"805223","call_identifier":"H2020"}],"_id":"9632","date_created":"2021-07-04T22:01:26Z","external_id":{"arxiv":["2004.14340"]},"publication":"Advances in Neural Information Processing Systems","page":"18098-18109","date_published":"2020-12-06T00:00:00Z","article_processing_charge":"No","ec_funded":1,"date_updated":"2023-02-23T14:03:06Z","title":"WoodFisher: Efficient second-order approximation for neural network compression","month":"12","citation":{"short":"S.P. Singh, D.-A. Alistarh, in:, Advances in Neural Information Processing Systems, Curran Associates, 2020, pp. 18098–18109.","apa":"Singh, S. P., &#38; Alistarh, D.-A. (2020). WoodFisher: Efficient second-order approximation for neural network compression. In <i>Advances in Neural Information Processing Systems</i> (Vol. 33, pp. 18098–18109). Vancouver, Canada: Curran Associates.","ieee":"S. P. Singh and D.-A. Alistarh, “WoodFisher: Efficient second-order approximation for neural network compression,” in <i>Advances in Neural Information Processing Systems</i>, Vancouver, Canada, 2020, vol. 33, pp. 18098–18109.","chicago":"Singh, Sidak Pal, and Dan-Adrian Alistarh. “WoodFisher: Efficient Second-Order Approximation for Neural Network Compression.” In <i>Advances in Neural Information Processing Systems</i>, 33:18098–109. Curran Associates, 2020.","ama":"Singh SP, Alistarh D-A. WoodFisher: Efficient second-order approximation for neural network compression. In: <i>Advances in Neural Information Processing Systems</i>. Vol 33. Curran Associates; 2020:18098-18109.","ista":"Singh SP, Alistarh D-A. 2020. WoodFisher: Efficient second-order approximation for neural network compression. Advances in Neural Information Processing Systems. NeurIPS: Conference on Neural Information Processing Systems vol. 33, 18098–18109.","mla":"Singh, Sidak Pal, and Dan-Adrian Alistarh. “WoodFisher: Efficient Second-Order Approximation for Neural Network Compression.” <i>Advances in Neural Information Processing Systems</i>, vol. 33, Curran Associates, 2020, pp. 18098–109."},"type":"conference","quality_controlled":"1","publication_status":"published","abstract":[{"lang":"eng","text":"Second-order information, in the form of Hessian- or Inverse-Hessian-vector products, is a fundamental tool for solving optimization problems. Recently, there has been significant interest in utilizing this information in the context of deep\r\nneural networks; however, relatively little is known about the quality of existing approximations in this context. Our work examines this question, identifies issues with existing approaches, and proposes a method called WoodFisher to compute a faithful and efficient estimate of the inverse Hessian. Our main application is to neural network compression, where we build on the classic Optimal Brain Damage/Surgeon framework. We demonstrate that WoodFisher significantly outperforms popular state-of-the-art methods for oneshot pruning. Further, even when iterative, gradual pruning is allowed, our method results in a gain in test accuracy over the state-of-the-art approaches, for standard image classification datasets such as ImageNet ILSVRC. We examine how our method can be extended to take into account first-order information, as well as\r\nillustrate its ability to automatically set layer-wise pruning thresholds and perform compression in the limited-data regime. The code is available at the following link, https://github.com/IST-DASLab/WoodFisher."}],"language":[{"iso":"eng"}],"status":"public","publisher":"Curran Associates","day":"06","oa_version":"Published Version","arxiv":1,"author":[{"last_name":"Singh","full_name":"Singh, Sidak Pal","first_name":"Sidak Pal","id":"DD138E24-D89D-11E9-9DC0-DEF6E5697425"},{"first_name":"Dan-Adrian","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","last_name":"Alistarh","orcid":"0000-0003-3650-940X","full_name":"Alistarh, Dan-Adrian"}],"year":"2020","conference":{"start_date":"2020-12-06","location":"Vancouver, Canada","end_date":"2020-12-12","name":"NeurIPS: Conference on Neural Information Processing Systems"},"department":[{"_id":"DaAl"},{"_id":"ToHe"}],"publication_identifier":{"isbn":["9781713829546"],"issn":["10495258"]}},{"author":[{"last_name":"Confavreux","full_name":"Confavreux, Basile J","first_name":"Basile J","id":"C7610134-B532-11EA-BD9F-F5753DDC885E"},{"first_name":"Friedemann","last_name":"Zenke","full_name":"Zenke, Friedemann"},{"full_name":"Agnes, Everton J.","last_name":"Agnes","first_name":"Everton J."},{"first_name":"Timothy","last_name":"Lillicrap","full_name":"Lillicrap, Timothy"},{"last_name":"Vogels","orcid":"0000-0003-3295-6181","full_name":"Vogels, Tim P","id":"CB6FF8D2-008F-11EA-8E08-2637E6697425","first_name":"Tim P"}],"conference":{"end_date":"2020-12-12","location":"Vancouver, Canada","start_date":"2020-12-06","name":"NeurIPS: Conference on Neural Information Processing Systems"},"year":"2020","publication_identifier":{"issn":["1049-5258"]},"department":[{"_id":"TiVo"}],"day":"06","oa_version":"Published Version","quality_controlled":"1","abstract":[{"lang":"eng","text":"The search for biologically faithful synaptic plasticity rules has resulted in a large body of models. They are usually inspired by – and fitted to – experimental data, but they rarely produce neural dynamics that serve complex functions. These failures suggest that current plasticity models are still under-constrained by existing data. Here, we present an alternative approach that uses meta-learning to discover plausible synaptic plasticity rules. Instead of experimental data, the rules are constrained by the functions they implement and the structure they are meant to produce. Briefly, we parameterize synaptic plasticity rules by a Volterra expansion and then use supervised learning methods (gradient descent or evolutionary strategies) to minimize a problem-dependent loss function that quantifies how effectively a candidate plasticity rule transforms an initially random network into one with the desired function. We first validate our approach by re-discovering previously described plasticity rules, starting at the single-neuron level and “Oja’s rule”, a simple Hebbian plasticity rule that captures the direction of most variability of inputs to a neuron (i.e., the first principal component). We expand the problem to the network level and ask the framework to find Oja’s rule together with an anti-Hebbian rule such that an initially random two-layer firing-rate network will recover several principal components of the input space after learning. Next, we move to networks of integrate-and-fire neurons with plastic inhibitory afferents. We train for rules that achieve a target firing rate by countering tuned excitation. Our algorithm discovers a specific subset of the manifold of rules that can solve this task. Our work is a proof of principle of an automated and unbiased approach to unveil synaptic plasticity rules that obey biological constraints and can solve complex functions."}],"publication_status":"published","language":[{"iso":"eng"}],"status":"public","type":"conference","citation":{"short":"B.J. Confavreux, F. Zenke, E.J. Agnes, T. Lillicrap, T.P. Vogels, in:, Advances in Neural Information Processing Systems, 2020, pp. 16398–16408.","apa":"Confavreux, B. J., Zenke, F., Agnes, E. J., Lillicrap, T., &#38; Vogels, T. P. (2020). A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network. In <i>Advances in Neural Information Processing Systems</i> (Vol. 33, pp. 16398–16408). Vancouver, Canada.","ieee":"B. J. Confavreux, F. Zenke, E. J. Agnes, T. Lillicrap, and T. P. Vogels, “A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network,” in <i>Advances in Neural Information Processing Systems</i>, Vancouver, Canada, 2020, vol. 33, pp. 16398–16408.","chicago":"Confavreux, Basile J, Friedemann Zenke, Everton J. Agnes, Timothy Lillicrap, and Tim P Vogels. “A Meta-Learning Approach to (Re)Discover Plasticity Rules That Carve a Desired Function into a Neural Network.” In <i>Advances in Neural Information Processing Systems</i>, 33:16398–408, 2020.","ama":"Confavreux BJ, Zenke F, Agnes EJ, Lillicrap T, Vogels TP. A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network. In: <i>Advances in Neural Information Processing Systems</i>. Vol 33. ; 2020:16398-16408.","ista":"Confavreux BJ, Zenke F, Agnes EJ, Lillicrap T, Vogels TP. 2020. A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network. Advances in Neural Information Processing Systems. NeurIPS: Conference on Neural Information Processing Systems vol. 33, 16398–16408.","mla":"Confavreux, Basile J., et al. “A Meta-Learning Approach to (Re)Discover Plasticity Rules That Carve a Desired Function into a Neural Network.” <i>Advances in Neural Information Processing Systems</i>, vol. 33, 2020, pp. 16398–408."},"date_published":"2020-12-06T00:00:00Z","article_processing_charge":"No","ec_funded":1,"title":"A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network","date_updated":"2023-10-18T09:20:55Z","month":"12","_id":"9633","project":[{"_id":"c084a126-5a5b-11eb-8a69-d75314a70a87","grant_number":"214316/Z/18/Z","name":"What’s in a memory? Spatiotemporal dynamics in strongly coupled recurrent neuronal networks."},{"call_identifier":"H2020","grant_number":"819603","_id":"0aacfa84-070f-11eb-9043-d7eb2c709234","name":"Learning the shape of synaptic plasticity rules for neuronal architectures and function through machine learning."}],"date_created":"2021-07-04T22:01:27Z","publication":"Advances in Neural Information Processing Systems","page":"16398-16408","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","acknowledgement":"We would like to thank Chaitanya Chintaluri, Georgia Christodoulou, Bill Podlaski and Merima Šabanovic for useful discussions and comments. This work was supported by a Wellcome Trust ´ Senior Research Fellowship (214316/Z/18/Z), a BBSRC grant (BB/N019512/1), an ERC consolidator Grant (SYNAPSEEK), a Leverhulme Trust Project Grant (RPG-2016-446), and funding from École Polytechnique, Paris.","intvolume":"        33","oa":1,"volume":33,"main_file_link":[{"url":"https://proceedings.neurips.cc/paper/2020/hash/bdbd5ebfde4934142c8a88e7a3796cd5-Abstract.html","open_access":"1"}],"related_material":{"record":[{"status":"public","relation":"dissertation_contains","id":"14422"}],"link":[{"relation":"is_continued_by","url":"https://doi.org/10.1101/2020.10.24.353409"}]},"scopus_import":"1"},{"citation":{"ama":"Hillary RF, Trejo-Banos D, Kousathanas A, et al. Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults. 2020. doi:<a href=\"https://doi.org/10.6084/m9.figshare.12629697.v1\">10.6084/m9.figshare.12629697.v1</a>","chicago":"Hillary, Robert F., Daniel Trejo-Banos, Athanasios Kousathanas, Daniel L. McCartney, Sarah E. Harris, Anna J. Stevenson, Marion Patxot, et al. “Additional File 2 of Multi-Method Genome- and Epigenome-Wide Studies of Inflammatory Protein Levels in Healthy Older Adults.” Springer Nature, 2020. <a href=\"https://doi.org/10.6084/m9.figshare.12629697.v1\">https://doi.org/10.6084/m9.figshare.12629697.v1</a>.","mla":"Hillary, Robert F., et al. <i>Additional File 2 of Multi-Method Genome- and Epigenome-Wide Studies of Inflammatory Protein Levels in Healthy Older Adults</i>. Springer Nature, 2020, doi:<a href=\"https://doi.org/10.6084/m9.figshare.12629697.v1\">10.6084/m9.figshare.12629697.v1</a>.","ista":"Hillary RF, Trejo-Banos D, Kousathanas A, McCartney DL, Harris SE, Stevenson AJ, Patxot M, Ojavee SE, Zhang Q, Liewald DC, Ritchie CW, Evans KL, Tucker-Drob EM, Wray NR, McRae AF, Visscher PM, Deary IJ, Robinson MR, Marioni RE. 2020. Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults, Springer Nature, <a href=\"https://doi.org/10.6084/m9.figshare.12629697.v1\">10.6084/m9.figshare.12629697.v1</a>.","short":"R.F. Hillary, D. Trejo-Banos, A. Kousathanas, D.L. McCartney, S.E. Harris, A.J. Stevenson, M. Patxot, S.E. Ojavee, Q. Zhang, D.C. Liewald, C.W. Ritchie, K.L. Evans, E.M. Tucker-Drob, N.R. Wray, A.F. McRae, P.M. Visscher, I.J. Deary, M.R. Robinson, R.E. Marioni, (2020).","apa":"Hillary, R. F., Trejo-Banos, D., Kousathanas, A., McCartney, D. L., Harris, S. E., Stevenson, A. J., … Marioni, R. E. (2020). Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults. Springer Nature. <a href=\"https://doi.org/10.6084/m9.figshare.12629697.v1\">https://doi.org/10.6084/m9.figshare.12629697.v1</a>","ieee":"R. F. Hillary <i>et al.</i>, “Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults.” Springer Nature, 2020."},"type":"research_data_reference","related_material":{"record":[{"id":"8133","status":"public","relation":"used_in_publication"}]},"main_file_link":[{"open_access":"1","url":"https://doi.org/10.6084/m9.figshare.12629697.v1"}],"abstract":[{"text":"Additional file 2: Supplementary Tables. The association of pre-adjusted protein levels with biological and technical covariates. Protein levels were adjusted for age, sex, array plate and four genetic principal components (population structure) prior to analyses. Significant associations are emboldened. (Table S1). pQTLs associated with inflammatory biomarker levels from Bayesian penalised regression model (Posterior Inclusion Probability > 95%). (Table S2). All pQTLs associated with inflammatory biomarker levels from ordinary least squares regression model (P < 7.14 × 10− 10). (Table S3). Summary of lambda values relating to ordinary least squares GWAS and EWAS performed on inflammatory protein levels (n = 70) in Lothian Birth Cohort 1936 study. (Table S4). Conditionally significant pQTLs associated with inflammatory biomarker levels from ordinary least squares regression model (P < 7.14 × 10− 10). (Table S5). Comparison of variance explained by ordinary least squares and Bayesian penalised regression models for concordantly identified SNPs. (Table S6). Estimate of heritability for blood protein levels as well as proportion of variance explained attributable to different prior mixtures. (Table S7). Comparison of heritability estimates from Ahsan et al. (maximum likelihood) and Hillary et al. (Bayesian penalised regression). (Table S8). List of concordant SNPs identified by linear model and Bayesian penalised regression and whether they have been previously identified as eQTLs. (Table S9). Bayesian tests of colocalisation for cis pQTLs and cis eQTLs. (Table S10). Sherlock algorithm: Genes whose expression are putatively associated with circulating inflammatory proteins that harbour pQTLs. (Table S11). CpGs associated with inflammatory protein biomarkers as identified by Bayesian model (Bayesian model; Posterior Inclusion Probability > 95%). (Table S12). CpGs associated with inflammatory protein biomarkers as identified by linear model (limma) at P < 5.14 × 10− 10. (Table S13). CpGs associated with inflammatory protein biomarkers as identified by mixed linear model (OSCA) at P < 5.14 × 10− 10. (Table S14). Estimate of variance explained for blood protein levels by DNA methylation as well as proportion of explained attributable to different prior mixtures - BayesR+. (Table S15). Comparison of variance in protein levels explained by genome-wide DNA methylation data by mixed linear model (OSCA) and Bayesian penalised regression model (BayesR+). (Table S16). Variance in circulating inflammatory protein biomarker levels explained by common genetic and methylation data (joint and conditional estimates from BayesR+). Ordered by combined variance explained by genetic and epigenetic data - smallest to largest. Significant results from t-tests comparing distributions for variance explained by methylation or genetics alone versus combined estimate are emboldened. (Table S17). Genetic and epigenetic factors identified by BayesR+ when conditioning on all SNPs and CpGs together. (Table S18). Mendelian Randomisation analyses to assess whether proteins with concordantly identified genetic signals are causally associated with Alzheimer’s disease risk. (Table S19).","lang":"eng"}],"has_accepted_license":"1","status":"public","oa":1,"user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","other_data_license":"CC0 + CC BY (4.0)","doi":"10.6084/m9.figshare.12629697.v1","oa_version":"Published Version","_id":"9706","publisher":"Springer Nature","day":"09","date_created":"2021-07-23T08:59:15Z","department":[{"_id":"MaRo"}],"date_updated":"2023-08-22T07:55:36Z","title":"Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults","month":"07","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"article_processing_charge":"No","year":"2020","date_published":"2020-07-09T00:00:00Z","author":[{"last_name":"Hillary","full_name":"Hillary, Robert F.","first_name":"Robert F."},{"full_name":"Trejo-Banos, Daniel","last_name":"Trejo-Banos","first_name":"Daniel"},{"first_name":"Athanasios","full_name":"Kousathanas, Athanasios","last_name":"Kousathanas"},{"full_name":"McCartney, Daniel L.","last_name":"McCartney","first_name":"Daniel L."},{"first_name":"Sarah E.","full_name":"Harris, Sarah E.","last_name":"Harris"},{"first_name":"Anna J.","full_name":"Stevenson, Anna J.","last_name":"Stevenson"},{"first_name":"Marion","full_name":"Patxot, Marion","last_name":"Patxot"},{"full_name":"Ojavee, Sven Erik","last_name":"Ojavee","first_name":"Sven Erik"},{"full_name":"Zhang, Qian","last_name":"Zhang","first_name":"Qian"},{"first_name":"David C.","full_name":"Liewald, David C.","last_name":"Liewald"},{"first_name":"Craig W.","full_name":"Ritchie, Craig W.","last_name":"Ritchie"},{"full_name":"Evans, Kathryn L.","last_name":"Evans","first_name":"Kathryn L."},{"last_name":"Tucker-Drob","full_name":"Tucker-Drob, Elliot M.","first_name":"Elliot M."},{"first_name":"Naomi R.","full_name":"Wray, Naomi R.","last_name":"Wray"},{"first_name":"Allan F. ","last_name":"McRae","full_name":"McRae, Allan F. "},{"first_name":"Peter M.","full_name":"Visscher, Peter M.","last_name":"Visscher"},{"first_name":"Ian J.","last_name":"Deary","full_name":"Deary, Ian J."},{"id":"E5D42276-F5DA-11E9-8E24-6303E6697425","first_name":"Matthew Richard","full_name":"Robinson, Matthew Richard","orcid":"0000-0001-8982-8813","last_name":"Robinson"},{"full_name":"Marioni, Riccardo E. ","last_name":"Marioni","first_name":"Riccardo E. "}]},{"related_material":{"record":[{"id":"7942","relation":"used_in_publication","status":"public"}]},"main_file_link":[{"open_access":"1","url":"https://doi.org/10.17863/CAM.50169"}],"abstract":[{"text":"This research data supports 'Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors'. A Readme file for plotting each figure is provided.","lang":"eng"}],"has_accepted_license":"1","status":"public","oa":1,"user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","type":"research_data_reference","citation":{"ista":"Hartstein M, Hsu Y-T, Modic KA, Porras J, Loew T, Le Tacon M, Zuo H, Wang J, Zhu Z, Chan M, McDonald R, Lonzarich G, Keimer B, Sebastian S, Harrison N. 2020. Accompanying dataset for ‘Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors’, Apollo - University of Cambridge, <a href=\"https://doi.org/10.17863/cam.50169\">10.17863/cam.50169</a>.","mla":"Hartstein, Mate, et al. <i>Accompanying Dataset for “Hard Antinodal Gap Revealed by Quantum Oscillations in the Pseudogap Regime of Underdoped High-Tc Superconductors.”</i> Apollo - University of Cambridge, 2020, doi:<a href=\"https://doi.org/10.17863/cam.50169\">10.17863/cam.50169</a>.","ama":"Hartstein M, Hsu Y-T, Modic KA, et al. Accompanying dataset for “Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors.” 2020. doi:<a href=\"https://doi.org/10.17863/cam.50169\">10.17863/cam.50169</a>","chicago":"Hartstein, Mate, Yu-Te Hsu, Kimberly A Modic, Juan Porras, Toshinao Loew, Matthieu Le Tacon, Huakun Zuo, et al. “Accompanying Dataset for ‘Hard Antinodal Gap Revealed by Quantum Oscillations in the Pseudogap Regime of Underdoped High-Tc Superconductors.’” Apollo - University of Cambridge, 2020. <a href=\"https://doi.org/10.17863/cam.50169\">https://doi.org/10.17863/cam.50169</a>.","ieee":"M. Hartstein <i>et al.</i>, “Accompanying dataset for ‘Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors.’” Apollo - University of Cambridge, 2020.","apa":"Hartstein, M., Hsu, Y.-T., Modic, K. A., Porras, J., Loew, T., Le Tacon, M., … Harrison, N. (2020). Accompanying dataset for “Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors.” Apollo - University of Cambridge. <a href=\"https://doi.org/10.17863/cam.50169\">https://doi.org/10.17863/cam.50169</a>","short":"M. Hartstein, Y.-T. Hsu, K.A. Modic, J. Porras, T. Loew, M. Le Tacon, H. Zuo, J. Wang, Z. Zhu, M. Chan, R. McDonald, G. Lonzarich, B. Keimer, S. Sebastian, N. Harrison, (2020)."},"department":[{"_id":"KiMo"}],"date_updated":"2023-08-21T07:06:48Z","title":"Accompanying dataset for 'Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors'","month":"05","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"year":"2020","article_processing_charge":"No","author":[{"last_name":"Hartstein","full_name":"Hartstein, Mate","first_name":"Mate"},{"last_name":"Hsu","full_name":"Hsu, Yu-Te","first_name":"Yu-Te"},{"id":"13C26AC0-EB69-11E9-87C6-5F3BE6697425","first_name":"Kimberly A","last_name":"Modic","full_name":"Modic, Kimberly A","orcid":"0000-0001-9760-3147"},{"first_name":"Juan","full_name":"Porras, Juan","last_name":"Porras"},{"last_name":"Loew","full_name":"Loew, Toshinao","first_name":"Toshinao"},{"first_name":"Matthieu","last_name":"Le Tacon","full_name":"Le Tacon, Matthieu"},{"first_name":"Huakun","last_name":"Zuo","full_name":"Zuo, Huakun"},{"first_name":"Jinhua","full_name":"Wang, Jinhua","last_name":"Wang"},{"first_name":"Zengwei","full_name":"Zhu, Zengwei","last_name":"Zhu"},{"last_name":"Chan","full_name":"Chan, Mun","first_name":"Mun"},{"first_name":"Ross","full_name":"McDonald, Ross","last_name":"McDonald"},{"first_name":"Gilbert","last_name":"Lonzarich","full_name":"Lonzarich, Gilbert"},{"first_name":"Bernhard","last_name":"Keimer","full_name":"Keimer, Bernhard"},{"first_name":"Suchitra","last_name":"Sebastian","full_name":"Sebastian, Suchitra"},{"first_name":"Neil","full_name":"Harrison, Neil","last_name":"Harrison"}],"date_published":"2020-05-29T00:00:00Z","doi":"10.17863/cam.50169","oa_version":"Published Version","_id":"9708","publisher":"Apollo - University of Cambridge","day":"29","date_created":"2021-07-23T10:00:35Z"},{"citation":{"short":"C. Gupta, U. Khaniya, C.K. Chan, F. Dehez, M. Shekhar, M.R. Gunner, L.A. Sazanov, C. Chipot, A. Singharoy, (2020).","apa":"Gupta, C., Khaniya, U., Chan, C. K., Dehez, F., Shekhar, M., Gunner, M. R., … Singharoy, A. (2020). Supporting information. American Chemical Society . <a href=\"https://doi.org/10.1021/jacs.9b13450.s001\">https://doi.org/10.1021/jacs.9b13450.s001</a>","ieee":"C. Gupta <i>et al.</i>, “Supporting information.” American Chemical Society , 2020.","ama":"Gupta C, Khaniya U, Chan CK, et al. Supporting information. 2020. doi:<a href=\"https://doi.org/10.1021/jacs.9b13450.s001\">10.1021/jacs.9b13450.s001</a>","chicago":"Gupta, Chitrak, Umesh Khaniya, Chun Kit Chan, Francois Dehez, Mrinal Shekhar, M.R. Gunner, Leonid A Sazanov, Christophe Chipot, and Abhishek Singharoy. “Supporting Information.” American Chemical Society , 2020. <a href=\"https://doi.org/10.1021/jacs.9b13450.s001\">https://doi.org/10.1021/jacs.9b13450.s001</a>.","mla":"Gupta, Chitrak, et al. <i>Supporting Information</i>. American Chemical Society , 2020, doi:<a href=\"https://doi.org/10.1021/jacs.9b13450.s001\">10.1021/jacs.9b13450.s001</a>.","ista":"Gupta C, Khaniya U, Chan CK, Dehez F, Shekhar M, Gunner MR, Sazanov LA, Chipot C, Singharoy A. 2020. Supporting information, American Chemical Society , <a href=\"https://doi.org/10.1021/jacs.9b13450.s001\">10.1021/jacs.9b13450.s001</a>."},"type":"research_data_reference","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","abstract":[{"lang":"eng","text":"Additional analyses of the trajectories"}],"related_material":{"record":[{"id":"8040","status":"public","relation":"used_in_publication"}]},"status":"public","publisher":"American Chemical Society ","_id":"9713","date_created":"2021-07-23T12:02:39Z","day":"20","doi":"10.1021/jacs.9b13450.s001","oa_version":"Published Version","date_published":"2020-05-20T00:00:00Z","author":[{"full_name":"Gupta, Chitrak","last_name":"Gupta","first_name":"Chitrak"},{"full_name":"Khaniya, Umesh","last_name":"Khaniya","first_name":"Umesh"},{"first_name":"Chun Kit","full_name":"Chan, Chun Kit","last_name":"Chan"},{"last_name":"Dehez","full_name":"Dehez, Francois","first_name":"Francois"},{"first_name":"Mrinal","last_name":"Shekhar","full_name":"Shekhar, Mrinal"},{"full_name":"Gunner, M.R.","last_name":"Gunner","first_name":"M.R."},{"first_name":"Leonid A","id":"338D39FE-F248-11E8-B48F-1D18A9856A87","last_name":"Sazanov","full_name":"Sazanov, Leonid A","orcid":"0000-0002-0977-7989"},{"last_name":"Chipot","full_name":"Chipot, Christophe","first_name":"Christophe"},{"first_name":"Abhishek","full_name":"Singharoy, Abhishek","last_name":"Singharoy"}],"year":"2020","article_processing_charge":"No","date_updated":"2023-08-22T07:49:38Z","title":"Supporting information","department":[{"_id":"LeSa"}],"month":"05"},{"citation":{"apa":"Slovakova, J., Sikora, M. K., Caballero Mancebo, S., Krens, G., Kaufmann, W., Huljev, K., &#38; Heisenberg, C.-P. J. (2020). Tension-dependent stabilization of E-cadherin limits cell-cell contact expansion. <i>bioRxiv</i>. Cold Spring Harbor Laboratory. <a href=\"https://doi.org/10.1101/2020.11.20.391284\">https://doi.org/10.1101/2020.11.20.391284</a>","short":"J. Slovakova, M.K. Sikora, S. Caballero Mancebo, G. Krens, W. Kaufmann, K. Huljev, C.-P.J. Heisenberg, BioRxiv (2020).","ieee":"J. Slovakova <i>et al.</i>, “Tension-dependent stabilization of E-cadherin limits cell-cell contact expansion,” <i>bioRxiv</i>. Cold Spring Harbor Laboratory, 2020.","chicago":"Slovakova, Jana, Mateusz K Sikora, Silvia Caballero Mancebo, Gabriel Krens, Walter Kaufmann, Karla Huljev, and Carl-Philipp J Heisenberg. “Tension-Dependent Stabilization of E-Cadherin Limits Cell-Cell Contact Expansion.” <i>BioRxiv</i>. Cold Spring Harbor Laboratory, 2020. <a href=\"https://doi.org/10.1101/2020.11.20.391284\">https://doi.org/10.1101/2020.11.20.391284</a>.","ama":"Slovakova J, Sikora MK, Caballero Mancebo S, et al. Tension-dependent stabilization of E-cadherin limits cell-cell contact expansion. <i>bioRxiv</i>. 2020. doi:<a href=\"https://doi.org/10.1101/2020.11.20.391284\">10.1101/2020.11.20.391284</a>","mla":"Slovakova, Jana, et al. “Tension-Dependent Stabilization of E-Cadherin Limits Cell-Cell Contact Expansion.” <i>BioRxiv</i>, Cold Spring Harbor Laboratory, 2020, doi:<a href=\"https://doi.org/10.1101/2020.11.20.391284\">10.1101/2020.11.20.391284</a>.","ista":"Slovakova J, Sikora MK, Caballero Mancebo S, Krens G, Kaufmann W, Huljev K, Heisenberg C-PJ. 2020. Tension-dependent stabilization of E-cadherin limits cell-cell contact expansion. bioRxiv, <a href=\"https://doi.org/10.1101/2020.11.20.391284\">10.1101/2020.11.20.391284</a>."},"type":"preprint","acknowledged_ssus":[{"_id":"Bio"},{"_id":"EM-Fac"},{"_id":"SSU"}],"abstract":[{"text":"Tension of the actomyosin cell cortex plays a key role in determining cell-cell contact growth and size. The level of cortical tension outside of the cell-cell contact, when pulling at the contact edge, scales with the total size to which a cell-cell contact can grow1,2. Here we show in zebrafish primary germ layer progenitor cells that this monotonic relationship only applies to a narrow range of cortical tension increase, and that above a critical threshold, contact size inversely scales with cortical tension. This switch from cortical tension increasing to decreasing progenitor cell-cell contact size is caused by cortical tension promoting E-cadherin anchoring to the actomyosin cytoskeleton, thereby increasing clustering and stability of E-cadherin at the contact. Once tension-mediated E-cadherin stabilization at the contact exceeds a critical threshold level, the rate by which the contact expands in response to pulling forces from the cortex sharply drops, leading to smaller contacts at physiologically relevant timescales of contact formation. Thus, the activity of cortical tension in expanding cell-cell contact size is limited by tension stabilizing E-cadherin-actin complexes at the contact.","lang":"eng"}],"publication_status":"published","related_material":{"record":[{"id":"10766","status":"public","relation":"later_version"},{"relation":"dissertation_contains","status":"public","id":"9623"}]},"main_file_link":[{"url":"https://doi.org/10.1101/2020.11.20.391284","open_access":"1"}],"language":[{"iso":"eng"}],"status":"public","acknowledgement":"We would like to thank Edouard Hannezo for discussions, Shayan Shami Pour and Daniel Capek for help with data analysis, Vanessa Barone and other members of the Heisenberg laboratory for thoughtful discussions and comments on the manuscript. We also thank Jack Merrin for preparing the microwells, and the Scientific Service Units at IST Austria, specifically Bioimaging and Electron Microscopy, and the Zebrafish Facility for continuous support. We acknowledge Hitoshi Morita for the kind gift of VinculinB-GFP plasmid. This research was supported by an ERC Advanced Grant (MECSPEC) to C.-P.H, EMBO Long Term grant (ALTF 187-2013) to M.S and IST Fellow Marie-Curie COFUND No. P_IST_EU01 to J.S.","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","oa":1,"publication":"bioRxiv","doi":"10.1101/2020.11.20.391284","page":"41","oa_version":"Preprint","publisher":"Cold Spring Harbor Laboratory","_id":"9750","project":[{"name":"International IST Postdoc Fellowship Programme","_id":"25681D80-B435-11E9-9278-68D0E5697425","grant_number":"291734","call_identifier":"FP7"},{"grant_number":"742573","_id":"260F1432-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"Interaction and feedback between cell mechanics and fate specification in vertebrate gastrulation"},{"name":"Modulation of adhesion function in cell-cell contact formation by cortical tension","_id":"2521E28E-B435-11E9-9278-68D0E5697425","grant_number":"187-2013"}],"date_created":"2021-07-29T11:29:50Z","day":"20","date_updated":"2024-03-25T23:30:10Z","title":"Tension-dependent stabilization of E-cadherin limits cell-cell contact expansion","department":[{"_id":"CaHe"},{"_id":"EM-Fac"},{"_id":"Bio"}],"month":"11","date_published":"2020-11-20T00:00:00Z","author":[{"full_name":"Slovakova, Jana","last_name":"Slovakova","id":"30F3F2F0-F248-11E8-B48F-1D18A9856A87","first_name":"Jana"},{"last_name":"Sikora","full_name":"Sikora, Mateusz K","first_name":"Mateusz K","id":"2F74BCDE-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Silvia","id":"2F1E1758-F248-11E8-B48F-1D18A9856A87","last_name":"Caballero Mancebo","orcid":"0000-0002-5223-3346","full_name":"Caballero Mancebo, Silvia"},{"id":"2B819732-F248-11E8-B48F-1D18A9856A87","first_name":"Gabriel","last_name":"Krens","orcid":"0000-0003-4761-5996","full_name":"Krens, Gabriel"},{"full_name":"Kaufmann, Walter","orcid":"0000-0001-9735-5315","last_name":"Kaufmann","first_name":"Walter","id":"3F99E422-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Karla","id":"44C6F6A6-F248-11E8-B48F-1D18A9856A87","last_name":"Huljev","full_name":"Huljev, Karla"},{"first_name":"Carl-Philipp J","id":"39427864-F248-11E8-B48F-1D18A9856A87","last_name":"Heisenberg","full_name":"Heisenberg, Carl-Philipp J","orcid":"0000-0002-0912-4566"}],"year":"2020","article_processing_charge":"No","ec_funded":1},{"date_updated":"2023-08-18T06:47:47Z","title":"Supporting information","department":[{"_id":"GaTk"}],"month":"02","date_published":"2020-02-25T00:00:00Z","author":[{"orcid":"0000-0003-2539-3560","full_name":"Grah, Rok","last_name":"Grah","id":"483E70DE-F248-11E8-B48F-1D18A9856A87","first_name":"Rok"},{"first_name":"Tamar","full_name":"Friedlander, Tamar","last_name":"Friedlander"}],"year":"2020","article_processing_charge":"No","doi":"10.1371/journal.pcbi.1007642.s001","oa_version":"Published Version","_id":"9776","publisher":"Public Library of Science","date_created":"2021-08-06T07:15:04Z","day":"25","related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"7569"}]},"status":"public","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","citation":{"mla":"Grah, Rok, and Tamar Friedlander. <i>Supporting Information</i>. 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CCDC 1991959: Experimental Crystal Structure Determination. CCDC. <a href=\"https://doi.org/10.5517/ccdc.csd.cc24vsrk\">https://doi.org/10.5517/ccdc.csd.cc24vsrk</a>","short":"W. Schlemmer, P. Nothdurft, A. Petzold, G. Riess, P. Frühwirt, M. Schmallegger, G. Gescheidt-Demner, R. Fischer, S.A. Freunberger, W. Kern, S. Spirk, (2020).","ieee":"W. Schlemmer <i>et al.</i>, “CCDC 1991959: Experimental Crystal Structure Determination.” CCDC, 2020.","chicago":"Schlemmer, Werner, Philipp Nothdurft, Alina Petzold, Gisbert Riess, Philipp Frühwirt, Max Schmallegger, Georg Gescheidt-Demner, et al. “CCDC 1991959: Experimental Crystal Structure Determination.” CCDC, 2020. <a href=\"https://doi.org/10.5517/ccdc.csd.cc24vsrk\">https://doi.org/10.5517/ccdc.csd.cc24vsrk</a>.","ama":"Schlemmer W, Nothdurft P, Petzold A, et al. 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The work of the authors was supported by the European Research Council (ERC)under the European Union's Horizon 2020 research and innovation programme grant 694227.","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","issue":"1","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1904.08647"}],"related_material":{"record":[{"id":"9733","relation":"dissertation_contains","status":"public"}]},"volume":52,"scopus_import":"1","year":"2020","author":[{"first_name":"Dario","id":"41A639AA-F248-11E8-B48F-1D18A9856A87","full_name":"Feliciangeli, Dario","orcid":"0000-0003-0754-8530","last_name":"Feliciangeli"},{"id":"4AFD0470-F248-11E8-B48F-1D18A9856A87","first_name":"Robert","orcid":"0000-0002-6781-0521","full_name":"Seiringer, Robert","last_name":"Seiringer"}],"isi":1,"department":[{"_id":"RoSe"}],"publication_identifier":{"issn":["0036-1410"],"eissn":["1095-7154"]},"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","short":"CC BY-NC-ND (4.0)","image":"/images/cc_by_nc_nd.png"},"publisher":"Society for Industrial & Applied Mathematics ","day":"12","doi":"10.1137/19m126284x","arxiv":1,"oa_version":"Preprint","quality_controlled":"1","abstract":[{"text":"We consider the Pekar functional on a ball in ℝ3. We prove uniqueness of minimizers, and a quadratic lower bound in terms of the distance to the minimizer. The latter follows from nondegeneracy of the Hessian at the minimum.","lang":"eng"}],"publication_status":"published","has_accepted_license":"1","status":"public","language":[{"iso":"eng"}],"ddc":["510"],"article_type":"original","citation":{"ieee":"D. Feliciangeli and R. Seiringer, “Uniqueness and nondegeneracy of minimizers of the Pekar functional on a ball,” <i>SIAM Journal on Mathematical Analysis</i>, vol. 52, no. 1. Society for Industrial &#38; Applied Mathematics , pp. 605–622, 2020.","apa":"Feliciangeli, D., &#38; Seiringer, R. (2020). Uniqueness and nondegeneracy of minimizers of the Pekar functional on a ball. <i>SIAM Journal on Mathematical Analysis</i>. Society for Industrial &#38; Applied Mathematics . <a href=\"https://doi.org/10.1137/19m126284x\">https://doi.org/10.1137/19m126284x</a>","short":"D. Feliciangeli, R. 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While epistatic effects are difficult to measure precisely, important information is captured by the mean and variance of log fitnesses for individuals carrying different numbers of mutations. We derive predictions for these quantities from a class of simple fitness landscapes, based on models of optimizing selection on quantitative traits. We also explore extensions to the models, including modular pleiotropy, variable effect sizes, mutational bias and maladaptation of the wild type. We illustrate our approach by reanalysing a large dataset of mutant effects in a yeast snoRNA. Though characterized by some large epistatic effects, these data give a good overall fit to the non-epistatic null model, suggesting that epistasis might have limited influence on the evolutionary dynamics in this system. 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We also explore extensions to the models, including modular pleiotropy, variable effect sizes, mutational bias and maladaptation of the wild type. We illustrate our approach by reanalysing a large dataset of mutant effects in a yeast snoRNA. Though characterized by some large epistatic effects, these data give a good overall fit to the non-epistatic null model, suggesting that epistasis might have limited influence on the evolutionary dynamics in this system. 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We demonstrate the tool functionality on several running examples and case studies, and evaluate its performance."}],"publication_status":"published","language":[{"iso":"eng"}],"status":"public","quality_controlled":"1","doi":"10.1007/s10009-020-00582-z","oa_version":"None","publisher":"Springer Nature","day":"03","publication_identifier":{"eissn":["1433-2787"],"issn":["1433-2779"]},"department":[{"_id":"ToHe"}],"author":[{"first_name":"Dejan","id":"41BCEE5C-F248-11E8-B48F-1D18A9856A87","last_name":"Nickovic","full_name":"Nickovic, Dejan"},{"first_name":"Olivier","last_name":"Lebeltel","full_name":"Lebeltel, Olivier"},{"full_name":"Maler, Oded","last_name":"Maler","first_name":"Oded"},{"last_name":"Ferrere","orcid":"0000-0001-5199-3143","full_name":"Ferrere, Thomas","first_name":"Thomas","id":"40960E6E-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Dogan","full_name":"Ulus, Dogan","last_name":"Ulus"}],"isi":1,"year":"2020","scopus_import":"1","volume":22,"related_material":{"record":[{"id":"299","status":"public","relation":"earlier_version"}]},"issue":"6","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","intvolume":"        22","publication":"International Journal on Software Tools for Technology Transfer","page":"741-758","_id":"10861","date_created":"2022-03-18T10:10:53Z","external_id":{"isi":["000555398600001"]},"title":"AMT 2.0: Qualitative and quantitative trace analysis with extended signal temporal logic","date_updated":"2023-09-08T11:52:02Z","month":"08","date_published":"2020-08-03T00:00:00Z","keyword":["Information Systems","Software"],"article_processing_charge":"No"},{"publication":"Journal of Functional Analysis","_id":"10862","project":[{"grant_number":"338804","_id":"258DCDE6-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","name":"Random matrices, universality and disordered quantum systems"}],"date_created":"2022-03-18T10:18:59Z","external_id":{"arxiv":["1708.01597"],"isi":["000559623200009"]},"date_updated":"2023-08-24T14:08:42Z","title":"Spectral rigidity for addition of random matrices at the regular edge","month":"10","date_published":"2020-10-15T00:00:00Z","article_processing_charge":"No","keyword":["Analysis"],"ec_funded":1,"scopus_import":"1","volume":279,"main_file_link":[{"url":"https://arxiv.org/abs/1708.01597","open_access":"1"}],"article_number":"108639","acknowledgement":"Partially supported by ERC Advanced Grant RANMAT No. 338804.","issue":"7","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","intvolume":"       279","oa":1,"doi":"10.1016/j.jfa.2020.108639","oa_version":"Preprint","arxiv":1,"publisher":"Elsevier","day":"15","publication_identifier":{"issn":["0022-1236"]},"department":[{"_id":"LaEr"}],"author":[{"first_name":"Zhigang","id":"442E6A6C-F248-11E8-B48F-1D18A9856A87","full_name":"Bao, Zhigang","orcid":"0000-0003-3036-1475","last_name":"Bao"},{"full_name":"Erdös, László","orcid":"0000-0001-5366-9603","last_name":"Erdös","first_name":"László","id":"4DBD5372-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Kevin","full_name":"Schnelli, Kevin","last_name":"Schnelli"}],"isi":1,"year":"2020","type":"journal_article","citation":{"apa":"Bao, Z., Erdös, L., &#38; Schnelli, K. (2020). Spectral rigidity for addition of random matrices at the regular edge. <i>Journal of Functional Analysis</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.jfa.2020.108639\">https://doi.org/10.1016/j.jfa.2020.108639</a>","short":"Z. Bao, L. Erdös, K. Schnelli, Journal of Functional Analysis 279 (2020).","ieee":"Z. Bao, L. Erdös, and K. Schnelli, “Spectral rigidity for addition of random matrices at the regular edge,” <i>Journal of Functional Analysis</i>, vol. 279, no. 7. Elsevier, 2020.","chicago":"Bao, Zhigang, László Erdös, and Kevin Schnelli. “Spectral Rigidity for Addition of Random Matrices at the Regular Edge.” <i>Journal of Functional Analysis</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.jfa.2020.108639\">https://doi.org/10.1016/j.jfa.2020.108639</a>.","ama":"Bao Z, Erdös L, Schnelli K. Spectral rigidity for addition of random matrices at the regular edge. <i>Journal of Functional Analysis</i>. 2020;279(7). doi:<a href=\"https://doi.org/10.1016/j.jfa.2020.108639\">10.1016/j.jfa.2020.108639</a>","ista":"Bao Z, Erdös L, Schnelli K. 2020. Spectral rigidity for addition of random matrices at the regular edge. Journal of Functional Analysis. 279(7), 108639.","mla":"Bao, Zhigang, et al. “Spectral Rigidity for Addition of Random Matrices at the Regular Edge.” <i>Journal of Functional Analysis</i>, vol. 279, no. 7, 108639, Elsevier, 2020, doi:<a href=\"https://doi.org/10.1016/j.jfa.2020.108639\">10.1016/j.jfa.2020.108639</a>."},"article_type":"original","publication_status":"published","abstract":[{"text":"We consider the sum of two large Hermitian matrices A and B with a Haar unitary conjugation bringing them into a general relative position. We prove that the eigenvalue density on the scale slightly above the local eigenvalue spacing is asymptotically given by the free additive convolution of the laws of A and B as the dimension of the matrix increases. This implies optimal rigidity of the eigenvalues and optimal rate of convergence in Voiculescu's theorem. Our previous works [4], [5] established these results in the bulk spectrum, the current paper completely settles the problem at the spectral edges provided they have the typical square-root behavior. The key element of our proof is to compensate the deterioration of the stability of the subordination equations by sharp error estimates that properly account for the local density near the edge. Our results also hold if the Haar unitary matrix is replaced by the Haar orthogonal matrix.","lang":"eng"}],"language":[{"iso":"eng"}],"status":"public","quality_controlled":"1"},{"quality_controlled":"1","abstract":[{"text":"Recent discoveries have shown that, when two layers of van der Waals (vdW) materials are superimposed with a relative twist angle between them, the electronic properties of the coupled system can be dramatically altered. Here, we demonstrate that a similar concept can be extended to the optics realm, particularly to propagating phonon polaritons–hybrid light-matter interactions. To do this, we fabricate stacks composed of two twisted slabs of a vdW crystal (α-MoO3) supporting anisotropic phonon polaritons (PhPs), and image the propagation of the latter when launched by localized sources. Our images reveal that, under a critical angle, the PhPs isofrequency curve undergoes a topological transition, in which the propagation of PhPs is strongly guided (canalization regime) along predetermined directions without geometric spreading. These results demonstrate a new degree of freedom (twist angle) for controlling the propagation of polaritons at the nanoscale with potential for nanoimaging, (bio)-sensing, or heat management.","lang":"eng"}],"publication_status":"published","language":[{"iso":"eng"}],"pmid":1,"status":"public","article_type":"original","type":"journal_article","citation":{"mla":"Duan, Jiahua, et al. “Twisted Nano-Optics: Manipulating Light at the Nanoscale with Twisted Phonon Polaritonic Slabs.” <i>Nano Letters</i>, vol. 20, no. 7, American Chemical Society, 2020, pp. 5323–29, doi:<a href=\"https://doi.org/10.1021/acs.nanolett.0c01673\">10.1021/acs.nanolett.0c01673</a>.","ista":"Duan J, Capote-Robayna N, Taboada-Gutiérrez J, Álvarez-Pérez G, Prieto Gonzalez I, Martín-Sánchez J, Nikitin AY, Alonso-González P. 2020. Twisted nano-optics: Manipulating light at the nanoscale with twisted phonon polaritonic slabs. Nano Letters. 20(7), 5323–5329.","ama":"Duan J, Capote-Robayna N, Taboada-Gutiérrez J, et al. Twisted nano-optics: Manipulating light at the nanoscale with twisted phonon polaritonic slabs. <i>Nano Letters</i>. 2020;20(7):5323-5329. doi:<a href=\"https://doi.org/10.1021/acs.nanolett.0c01673\">10.1021/acs.nanolett.0c01673</a>","chicago":"Duan, Jiahua, Nathaniel Capote-Robayna, Javier Taboada-Gutiérrez, Gonzalo Álvarez-Pérez, Ivan Prieto Gonzalez, Javier Martín-Sánchez, Alexey Y. Nikitin, and Pablo Alonso-González. “Twisted Nano-Optics: Manipulating Light at the Nanoscale with Twisted Phonon Polaritonic Slabs.” <i>Nano Letters</i>. American Chemical Society, 2020. <a href=\"https://doi.org/10.1021/acs.nanolett.0c01673\">https://doi.org/10.1021/acs.nanolett.0c01673</a>.","ieee":"J. Duan <i>et al.</i>, “Twisted nano-optics: Manipulating light at the nanoscale with twisted phonon polaritonic slabs,” <i>Nano Letters</i>, vol. 20, no. 7. American Chemical Society, pp. 5323–5329, 2020.","apa":"Duan, J., Capote-Robayna, N., Taboada-Gutiérrez, J., Álvarez-Pérez, G., Prieto Gonzalez, I., Martín-Sánchez, J., … Alonso-González, P. (2020). Twisted nano-optics: Manipulating light at the nanoscale with twisted phonon polaritonic slabs. <i>Nano Letters</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acs.nanolett.0c01673\">https://doi.org/10.1021/acs.nanolett.0c01673</a>","short":"J. Duan, N. Capote-Robayna, J. Taboada-Gutiérrez, G. Álvarez-Pérez, I. Prieto Gonzalez, J. Martín-Sánchez, A.Y. Nikitin, P. Alonso-González, Nano Letters 20 (2020) 5323–5329."},"isi":1,"author":[{"last_name":"Duan","full_name":"Duan, Jiahua","first_name":"Jiahua"},{"last_name":"Capote-Robayna","full_name":"Capote-Robayna, Nathaniel","first_name":"Nathaniel"},{"first_name":"Javier","last_name":"Taboada-Gutiérrez","full_name":"Taboada-Gutiérrez, Javier"},{"first_name":"Gonzalo","full_name":"Álvarez-Pérez, Gonzalo","last_name":"Álvarez-Pérez"},{"full_name":"Prieto Gonzalez, Ivan","orcid":"0000-0002-7370-5357","last_name":"Prieto Gonzalez","first_name":"Ivan","id":"2A307FE2-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Martín-Sánchez","full_name":"Martín-Sánchez, Javier","first_name":"Javier"},{"full_name":"Nikitin, Alexey Y.","last_name":"Nikitin","first_name":"Alexey Y."},{"first_name":"Pablo","last_name":"Alonso-González","full_name":"Alonso-González, Pablo"}],"year":"2020","publication_identifier":{"issn":["1530-6984"],"eissn":["1530-6992"]},"department":[{"_id":"NanoFab"}],"publisher":"American Chemical Society","day":"01","doi":"10.1021/acs.nanolett.0c01673","oa_version":"Preprint","arxiv":1,"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","acknowledgement":"J.T.-G. and G.Á.-P. acknowledge support through the Severo Ochoa Program from the\r\nGovernment of the Principality of Asturias (nos. PA-18-PF-BP17-126 and PA20-PF-BP19-053,\r\nrespectively). J. M-S acknowledges financial support through the Ramón y Cajal Program from\r\nthe Government of Spain (RYC2018-026196-I). A.Y.N. acknowledges the Spanish Ministry of\r\nScience, Innovation and Universities (national project no. MAT201788358-C3-3-R). P.A.-G.\r\nacknowledges support from the European Research Council under starting grant no. 715496,\r\n2DNANOPTICA.","issue":"7","intvolume":"        20","oa":1,"volume":20,"main_file_link":[{"url":"https://arxiv.org/abs/2004.14599","open_access":"1"}],"scopus_import":"1","date_published":"2020-07-01T00:00:00Z","article_processing_charge":"No","keyword":["Mechanical Engineering","Condensed Matter Physics","General Materials Science","General Chemistry","Bioengineering"],"date_updated":"2023-09-05T12:05:58Z","title":"Twisted nano-optics: Manipulating light at the nanoscale with twisted phonon polaritonic slabs","month":"07","_id":"10866","date_created":"2022-03-18T11:37:38Z","external_id":{"arxiv":["2004.14599"],"pmid":["32530634"],"isi":["000548893200082"]},"publication":"Nano Letters","page":"5323-5329"},{"year":"2020","author":[{"last_name":"Akopyan","orcid":"0000-0002-2548-617X","full_name":"Akopyan, Arseniy","first_name":"Arseniy","id":"430D2C90-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Karasev","full_name":"Karasev, Roman","first_name":"Roman"}],"isi":1,"department":[{"_id":"HeEd"}],"publication_identifier":{"eissn":["1687-0247"],"issn":["1073-7928"]},"publisher":"Oxford University Press","day":"01","doi":"10.1093/imrn/rny037","oa_version":"Preprint","arxiv":1,"quality_controlled":"1","publication_status":"published","abstract":[{"lang":"eng","text":"In this paper we find a tight estimate for Gromov’s waist of the balls in spaces of constant curvature, deduce the estimates for the balls in Riemannian manifolds with upper bounds on the curvature (CAT(ϰ)-spaces), and establish similar result for normed spaces."}],"status":"public","language":[{"iso":"eng"}],"article_type":"original","citation":{"ista":"Akopyan A, Karasev R. 2020. Waist of balls in hyperbolic and spherical spaces. International Mathematics Research Notices. 2020(3), 669–697.","mla":"Akopyan, Arseniy, and Roman Karasev. “Waist of Balls in Hyperbolic and Spherical Spaces.” <i>International Mathematics Research Notices</i>, vol. 2020, no. 3, Oxford University Press, 2020, pp. 669–97, doi:<a href=\"https://doi.org/10.1093/imrn/rny037\">10.1093/imrn/rny037</a>.","ama":"Akopyan A, Karasev R. Waist of balls in hyperbolic and spherical spaces. <i>International Mathematics Research Notices</i>. 2020;2020(3):669-697. doi:<a href=\"https://doi.org/10.1093/imrn/rny037\">10.1093/imrn/rny037</a>","chicago":"Akopyan, Arseniy, and Roman Karasev. “Waist of Balls in Hyperbolic and Spherical Spaces.” <i>International Mathematics Research Notices</i>. Oxford University Press, 2020. <a href=\"https://doi.org/10.1093/imrn/rny037\">https://doi.org/10.1093/imrn/rny037</a>.","ieee":"A. Akopyan and R. Karasev, “Waist of balls in hyperbolic and spherical spaces,” <i>International Mathematics Research Notices</i>, vol. 2020, no. 3. Oxford University Press, pp. 669–697, 2020.","short":"A. Akopyan, R. Karasev, International Mathematics Research Notices 2020 (2020) 669–697.","apa":"Akopyan, A., &#38; Karasev, R. (2020). Waist of balls in hyperbolic and spherical spaces. <i>International Mathematics Research Notices</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/imrn/rny037\">https://doi.org/10.1093/imrn/rny037</a>"},"type":"journal_article","article_processing_charge":"No","keyword":["General Mathematics"],"date_published":"2020-02-01T00:00:00Z","title":"Waist of balls in hyperbolic and spherical spaces","date_updated":"2023-08-24T14:19:55Z","month":"02","_id":"10867","external_id":{"arxiv":["1702.07513"],"isi":["000522852700002"]},"date_created":"2022-03-18T11:39:30Z","publication":"International Mathematics Research Notices","page":"669-697","intvolume":"      2020","oa":1,"issue":"3","acknowledgement":" Supported by the Russian Foundation for Basic Research grant 18-01-00036.","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1702.07513"}],"volume":2020,"scopus_import":"1"}]