[{"issue":"9","volume":23,"language":[{"iso":"eng"}],"file":[{"content_type":"application/pdf","access_level":"open_access","relation":"main_file","file_id":"10193","checksum":"ace603e8f0962b3ba55f23fa34f57764","success":1,"date_updated":"2021-10-28T12:06:01Z","file_size":2215016,"creator":"cziletti","date_created":"2021-10-28T12:06:01Z","file_name":"2021_NewJPhys_Sahu.pdf"}],"publication_status":"published","publication_identifier":{"eissn":["13672630"]},"intvolume":" 23","month":"09","scopus_import":"1","oa_version":"Published Version","abstract":[{"text":"In dense biological tissues, cell types performing different roles remain segregated by maintaining sharp interfaces. To better understand the mechanisms for such sharp compartmentalization, we study the effect of an imposed heterotypic tension at the interface between two distinct cell types in a fully 3D Voronoi model for confluent tissues. We find that cells rapidly sort and self-organize to generate a tissue-scale interface between cell types, and cells adjacent to this interface exhibit signature geometric features including nematic-like ordering, bimodal facet areas, and registration, or alignment, of cell centers on either side of the two-tissue interface. The magnitude of these features scales directly with the magnitude of the imposed tension, suggesting that biologists can estimate the magnitude of tissue surface tension between two tissue types simply by segmenting a 3D tissue. To uncover the underlying physical mechanisms driving these geometric features, we develop two minimal, ordered models using two different underlying lattices that identify an energetic competition between bulk cell shapes and tissue interface area. When the interface area dominates, changes to neighbor topology are costly and occur less frequently, which generates the observed geometric features.","lang":"eng"}],"file_date_updated":"2021-10-28T12:06:01Z","department":[{"_id":"EdHa"}],"ddc":["570"],"date_updated":"2023-08-14T08:10:31Z","status":"public","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"article_type":"original","type":"journal_article","_id":"10178","date_created":"2021-10-24T22:01:34Z","date_published":"2021-09-29T00:00:00Z","doi":"10.1088/1367-2630/ac23f1","publication":"New Journal of Physics","day":"29","year":"2021","isi":1,"has_accepted_license":"1","oa":1,"publisher":"IOP Publishing","quality_controlled":"1","acknowledgement":"We thank Paula Sanematsu, Matthias Merkel, Daniel Sussman, Cristina Marchetti and Edouard Hannezo for helpful discussions, and M Merkel for developing and sharing the original version of the 3D Voronoi code. This work was primarily funded by NSF-PHY-1607416, NSF-PHY-2014192 , and are in the division of physics at the National Science Foundation. PS and MLM acknowledge additional support from Simons Grant No. 454947.\r\n","title":"Geometric signatures of tissue surface tension in a three-dimensional model of confluent tissue","article_processing_charge":"Yes","external_id":{"isi":["000702042400001"],"arxiv":["2102.05397"]},"author":[{"full_name":"Sahu, Preeti","last_name":"Sahu","id":"55BA52EE-A185-11EA-88FD-18AD3DDC885E","first_name":"Preeti"},{"first_name":"J. M.","full_name":"Schwarz, J. M.","last_name":"Schwarz"},{"last_name":"Manning","full_name":"Manning, M. Lisa","first_name":"M. Lisa"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","citation":{"ista":"Sahu P, Schwarz JM, Manning ML. 2021. Geometric signatures of tissue surface tension in a three-dimensional model of confluent tissue. New Journal of Physics. 23(9), 093043.","chicago":"Sahu, Preeti, J. M. Schwarz, and M. Lisa Manning. “Geometric Signatures of Tissue Surface Tension in a Three-Dimensional Model of Confluent Tissue.” New Journal of Physics. IOP Publishing, 2021. https://doi.org/10.1088/1367-2630/ac23f1.","ieee":"P. Sahu, J. M. Schwarz, and M. L. Manning, “Geometric signatures of tissue surface tension in a three-dimensional model of confluent tissue,” New Journal of Physics, vol. 23, no. 9. IOP Publishing, 2021.","short":"P. Sahu, J.M. Schwarz, M.L. Manning, New Journal of Physics 23 (2021).","ama":"Sahu P, Schwarz JM, Manning ML. Geometric signatures of tissue surface tension in a three-dimensional model of confluent tissue. New Journal of Physics. 2021;23(9). doi:10.1088/1367-2630/ac23f1","apa":"Sahu, P., Schwarz, J. M., & Manning, M. L. (2021). Geometric signatures of tissue surface tension in a three-dimensional model of confluent tissue. New Journal of Physics. IOP Publishing. https://doi.org/10.1088/1367-2630/ac23f1","mla":"Sahu, Preeti, et al. “Geometric Signatures of Tissue Surface Tension in a Three-Dimensional Model of Confluent Tissue.” New Journal of Physics, vol. 23, no. 9, 093043, IOP Publishing, 2021, doi:10.1088/1367-2630/ac23f1."},"article_number":"093043"},{"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2012.10691"}],"scopus_import":"1","month":"10","abstract":[{"text":"In this article we study some geometric properties of proximally smooth sets. First, we introduce a modification of the metric projection and prove its existence. Then we provide an algorithm for constructing a rectifiable curve between two sufficiently close points of a proximally smooth set in a uniformly convex and uniformly smooth Banach space, with the moduli of smoothness and convexity of power type. Our algorithm returns a reasonably short curve between two sufficiently close points of a proximally smooth set, is iterative and uses our modification of the metric projection. We estimate the length of the constructed curve and its deviation from the segment with the same endpoints. These estimates coincide up to a constant factor with those for the geodesics in a proximally smooth set in a Hilbert space.","lang":"eng"}],"oa_version":"Published Version","publication_status":"published","publication_identifier":{"eissn":["1877-0541"],"issn":["0927-6947"]},"language":[{"iso":"eng"}],"article_type":"original","type":"journal_article","status":"public","_id":"10181","department":[{"_id":"UlWa"}],"date_updated":"2023-08-14T08:11:38Z","oa":1,"quality_controlled":"1","publisher":"Springer Nature","acknowledgement":"Theorem 2 was obtained at Steklov Mathematical Institute RAS and supported by Russian Science Foundation, grant N 19-11-00087.","date_created":"2021-10-24T22:01:35Z","doi":"10.1007/s11228-021-00612-1","date_published":"2021-10-09T00:00:00Z","year":"2021","isi":1,"publication":"Set-Valued and Variational Analysis","day":"09","external_id":{"isi":["000705774800001"],"arxiv":["2012.10691"]},"article_processing_charge":"No","author":[{"last_name":"Ivanov","full_name":"Ivanov, Grigory","id":"87744F66-5C6F-11EA-AFE0-D16B3DDC885E","first_name":"Grigory"},{"first_name":"Mariana S.","last_name":"Lopushanski","full_name":"Lopushanski, Mariana S."}],"title":"Rectifiable curves in proximally smooth sets","citation":{"mla":"Ivanov, Grigory, and Mariana S. Lopushanski. “Rectifiable Curves in Proximally Smooth Sets.” Set-Valued and Variational Analysis, Springer Nature, 2021, doi:10.1007/s11228-021-00612-1.","ama":"Ivanov G, Lopushanski MS. Rectifiable curves in proximally smooth sets. Set-Valued and Variational Analysis. 2021. doi:10.1007/s11228-021-00612-1","apa":"Ivanov, G., & Lopushanski, M. S. (2021). Rectifiable curves in proximally smooth sets. Set-Valued and Variational Analysis. Springer Nature. https://doi.org/10.1007/s11228-021-00612-1","short":"G. Ivanov, M.S. Lopushanski, Set-Valued and Variational Analysis (2021).","ieee":"G. Ivanov and M. S. Lopushanski, “Rectifiable curves in proximally smooth sets,” Set-Valued and Variational Analysis. Springer Nature, 2021.","chicago":"Ivanov, Grigory, and Mariana S. Lopushanski. “Rectifiable Curves in Proximally Smooth Sets.” Set-Valued and Variational Analysis. Springer Nature, 2021. https://doi.org/10.1007/s11228-021-00612-1.","ista":"Ivanov G, Lopushanski MS. 2021. Rectifiable curves in proximally smooth sets. Set-Valued and Variational Analysis."},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8"},{"_id":"10202","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"type":"journal_article","article_type":"original","status":"public","date_updated":"2023-08-14T10:32:48Z","ddc":["570"],"file_date_updated":"2021-11-09T13:59:26Z","department":[{"_id":"CaHe"}],"abstract":[{"text":"Zygotic genome activation (ZGA) initiates regionalized transcription underlying distinct cellular identities. ZGA is dependent upon dynamic chromatin architecture sculpted by conserved DNA-binding proteins. However, the direct mechanistic link between the onset of ZGA and the tissue-specific transcription remains unclear. Here, we have addressed the involvement of chromatin organizer Satb2 in orchestrating both processes during zebrafish embryogenesis. Integrative analysis of transcriptome, genome-wide occupancy and chromatin accessibility reveals contrasting molecular activities of maternally deposited and zygotically synthesized Satb2. Maternal Satb2 prevents premature transcription of zygotic genes by influencing the interplay between the pluripotency factors. By contrast, zygotic Satb2 activates transcription of the same group of genes during neural crest development and organogenesis. Thus, our comparative analysis of maternal versus zygotic function of Satb2 underscores how these antithetical activities are temporally coordinated and functionally implemented highlighting the evolutionary implications of the biphasic and bimodal regulation of landmark developmental transitions by a single determinant.","lang":"eng"}],"pmid":1,"oa_version":"Published Version","scopus_import":"1","intvolume":" 12","month":"10","publication_status":"published","publication_identifier":{"eissn":["20411723"]},"language":[{"iso":"eng"}],"file":[{"creator":"cziletti","date_updated":"2021-11-09T13:59:26Z","file_size":7144437,"date_created":"2021-11-09T13:59:26Z","file_name":"2021_NatureComm_Pradhan.pdf","access_level":"open_access","relation":"main_file","content_type":"application/pdf","file_id":"10262","checksum":"c40a69ae94435ecd3a30c9874a11ef2b","success":1}],"issue":"1","volume":12,"related_material":{"link":[{"description":"Preprint","relation":"earlier_version","url":"https://doi.org/10.1101/2020.11.23.394171 "}]},"article_number":"6094","citation":{"ista":"Pradhan SJ, Reddy PC, Smutny M, Sharma A, Sako K, Oak MS, Shah R, Pal M, Deshpande O, Dsilva G, Tang Y, Mishra R, Deshpande G, Giraldez AJ, Sonawane M, Heisenberg C-PJ, Galande S. 2021. Satb2 acts as a gatekeeper for major developmental transitions during early vertebrate embryogenesis. Nature Communications. 12(1), 6094.","chicago":"Pradhan, Saurabh J., Puli Chandramouli Reddy, Michael Smutny, Ankita Sharma, Keisuke Sako, Meghana S. Oak, Rini Shah, et al. “Satb2 Acts as a Gatekeeper for Major Developmental Transitions during Early Vertebrate Embryogenesis.” Nature Communications. Springer Nature, 2021. https://doi.org/10.1038/s41467-021-26234-7.","apa":"Pradhan, S. J., Reddy, P. C., Smutny, M., Sharma, A., Sako, K., Oak, M. S., … Galande, S. (2021). Satb2 acts as a gatekeeper for major developmental transitions during early vertebrate embryogenesis. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-021-26234-7","ama":"Pradhan SJ, Reddy PC, Smutny M, et al. Satb2 acts as a gatekeeper for major developmental transitions during early vertebrate embryogenesis. Nature Communications. 2021;12(1). doi:10.1038/s41467-021-26234-7","ieee":"S. J. Pradhan et al., “Satb2 acts as a gatekeeper for major developmental transitions during early vertebrate embryogenesis,” Nature Communications, vol. 12, no. 1. Springer Nature, 2021.","short":"S.J. Pradhan, P.C. Reddy, M. Smutny, A. Sharma, K. Sako, M.S. Oak, R. Shah, M. Pal, O. Deshpande, G. Dsilva, Y. Tang, R. Mishra, G. Deshpande, A.J. Giraldez, M. Sonawane, C.-P.J. Heisenberg, S. Galande, Nature Communications 12 (2021).","mla":"Pradhan, Saurabh J., et al. “Satb2 Acts as a Gatekeeper for Major Developmental Transitions during Early Vertebrate Embryogenesis.” Nature Communications, vol. 12, no. 1, 6094, Springer Nature, 2021, doi:10.1038/s41467-021-26234-7."},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","external_id":{"pmid":["34667153"],"isi":["000709050300016"]},"article_processing_charge":"Yes","author":[{"first_name":"Saurabh J.","full_name":"Pradhan, Saurabh J.","last_name":"Pradhan"},{"first_name":"Puli Chandramouli","full_name":"Reddy, Puli Chandramouli","last_name":"Reddy"},{"orcid":"0000-0002-5920-9090","full_name":"Smutny, Michael","last_name":"Smutny","first_name":"Michael","id":"3FE6E4E8-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Ankita","full_name":"Sharma, Ankita","last_name":"Sharma"},{"first_name":"Keisuke","id":"3BED66BE-F248-11E8-B48F-1D18A9856A87","last_name":"Sako","full_name":"Sako, Keisuke","orcid":"0000-0002-6453-8075"},{"first_name":"Meghana S.","full_name":"Oak, Meghana S.","last_name":"Oak"},{"first_name":"Rini","last_name":"Shah","full_name":"Shah, Rini"},{"first_name":"Mrinmoy","last_name":"Pal","full_name":"Pal, Mrinmoy"},{"last_name":"Deshpande","full_name":"Deshpande, Ojas","first_name":"Ojas"},{"first_name":"Greg","full_name":"Dsilva, Greg","last_name":"Dsilva"},{"first_name":"Yin","full_name":"Tang, Yin","last_name":"Tang"},{"full_name":"Mishra, Rakesh","last_name":"Mishra","first_name":"Rakesh"},{"first_name":"Girish","full_name":"Deshpande, Girish","last_name":"Deshpande"},{"first_name":"Antonio J.","full_name":"Giraldez, Antonio J.","last_name":"Giraldez"},{"first_name":"Mahendra","last_name":"Sonawane","full_name":"Sonawane, Mahendra"},{"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"},{"full_name":"Galande, Sanjeev","last_name":"Galande","first_name":"Sanjeev"}],"title":"Satb2 acts as a gatekeeper for major developmental transitions during early vertebrate embryogenesis","acknowledgement":"We are grateful to the members of C.-P.H. and SG lab for discussions. Authors thank Shubha Tole for providing embryonic mouse tissues. Authors are grateful to Alessandro Mongera and Chetana Sachidanandan for generous help with Tg: Sox10: GFP line. Authors would like to thank Satyajeet Khare, Vanessa Barone, Jyothish S., Shalini Mishra, Yoshita Bhide, and Keshav Jha for assistance in experiments. We would also like to thank Chaitanya Dingare for valuable suggestions. We thank Diana Pinhiero and Alexandra Schauer for critical reading of early versions of the manuscript. This work was supported by the Centre of Excellence in Epigenetics program of the Department of Biotechnology, Government of India Phase I (BT/01/COE/09/07) to S.G. and R.K.M., and Phase II (BT/COE/34/SP17426/2016) to S.G. and JC Bose Fellowship (JCB/2019/000013) from Science and Engineering Research Board, Government of India to S.G., DST-BMWF Indo-Austrian bilateral program grant to S.G. and C.-P.H. The work using animal models was partly supported by the infrastructure support grants from the Department of Biotechnology (National Facility for Laboratory Model Organisms: BT/INF/22/SP17358/2016 and Establishment of a Pune Biotech Cluster, Model Organism to Human Disease: B-2 Whole Animal Imaging & Tissue Processing FacilityBT/Pune-Biocluster/01/2015). S.J.P. was supported by Fellowship from the Council of Scientific and Industrial Research, India and travel fellowship from the Company of Biologists, UK. P.C.R. was supported by the Early Career Fellowship of the Wellcome Trust-DBT India Alliance (IA/E/16/1/503057). A.S. was supported by UGC and R.S. was supported by CSIR India. M.S. was supported by core funding from the Tata Institute of Fundamental Research (TIFR 12P-121).","oa":1,"quality_controlled":"1","publisher":"Springer Nature","year":"2021","isi":1,"has_accepted_license":"1","publication":"Nature Communications","day":"19","date_created":"2021-10-31T23:01:29Z","doi":"10.1038/s41467-021-26234-7","date_published":"2021-10-19T00:00:00Z"},{"type":"journal_article","article_type":"original","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"status":"public","keyword":["microbiology"],"_id":"10271","file_date_updated":"2021-11-11T10:54:40Z","date_updated":"2023-08-14T11:43:23Z","ddc":["610"],"scopus_import":"1","month":"10","intvolume":" 12","abstract":[{"text":"Understanding interactions between antibiotics used in combination is an important theme in microbiology. Using the interactions between the antifolate drug trimethoprim and the ribosome-targeting antibiotic erythromycin in Escherichia coli as a model, we applied a transcriptomic approach for dissecting interactions between two antibiotics with different modes of action. When trimethoprim and erythromycin were combined, the transcriptional response of genes from the sulfate reduction pathway deviated from the dominant effect of trimethoprim on the transcriptome. We successfully altered the drug interaction from additivity to suppression by increasing the sulfate level in the growth environment and identified sulfate reduction as an important metabolic determinant that shapes the interaction between the two drugs. Our work highlights the potential of using prioritization of gene expression patterns as a tool for identifying key metabolic determinants that shape drug-drug interactions. We further demonstrated that the sigma factor-binding protein gene crl shapes the interactions between the two antibiotics, which provides a rare example of how naturally occurring variations between strains of the same bacterial species can sometimes generate very different drug interactions.","lang":"eng"}],"oa_version":"Published Version","pmid":1,"volume":12,"ec_funded":1,"publication_identifier":{"eissn":["1664-302X"]},"publication_status":"published","file":[{"file_name":"2021_FrontiersMicrob_Qi.pdf","date_created":"2021-11-11T10:54:40Z","file_size":2397203,"date_updated":"2021-11-11T10:54:40Z","creator":"cchlebak","success":1,"file_id":"10272","checksum":"d41321748e9588dd3cf03e9a7222127f","content_type":"application/pdf","relation":"main_file","access_level":"open_access"}],"language":[{"iso":"eng"}],"project":[{"name":"Revealing the mechanisms underlying drug interactions","grant_number":"P27201-B22","call_identifier":"FWF","_id":"25E9AF9E-B435-11E9-9278-68D0E5697425"},{"grant_number":"303507","name":"Optimality principles in responses to antibiotics","call_identifier":"FP7","_id":"25E83C2C-B435-11E9-9278-68D0E5697425"}],"article_number":"760017","author":[{"last_name":"Qi","full_name":"Qi, Qin","orcid":"0000-0002-6148-2416","id":"3B22D412-F248-11E8-B48F-1D18A9856A87","first_name":"Qin"},{"first_name":"S. Andreas","last_name":"Angermayr","full_name":"Angermayr, S. Andreas"},{"first_name":"Mark Tobias","id":"3E6DB97A-F248-11E8-B48F-1D18A9856A87","last_name":"Bollenbach","orcid":"0000-0003-4398-476X","full_name":"Bollenbach, Mark Tobias"}],"external_id":{"pmid":["34745067"],"isi":["000715997300001"]},"article_processing_charge":"No","title":"Uncovering Key Metabolic Determinants of the Drug Interactions Between Trimethoprim and Erythromycin in Escherichia coli","citation":{"apa":"Qi, Q., Angermayr, S. A., & Bollenbach, M. T. (2021). Uncovering Key Metabolic Determinants of the Drug Interactions Between Trimethoprim and Erythromycin in Escherichia coli. Frontiers in Microbiology. Frontiers. https://doi.org/10.3389/fmicb.2021.760017","ama":"Qi Q, Angermayr SA, Bollenbach MT. Uncovering Key Metabolic Determinants of the Drug Interactions Between Trimethoprim and Erythromycin in Escherichia coli. Frontiers in Microbiology. 2021;12. doi:10.3389/fmicb.2021.760017","short":"Q. Qi, S.A. Angermayr, M.T. Bollenbach, Frontiers in Microbiology 12 (2021).","ieee":"Q. Qi, S. A. Angermayr, and M. T. Bollenbach, “Uncovering Key Metabolic Determinants of the Drug Interactions Between Trimethoprim and Erythromycin in Escherichia coli,” Frontiers in Microbiology, vol. 12. Frontiers, 2021.","mla":"Qi, Qin, et al. “Uncovering Key Metabolic Determinants of the Drug Interactions Between Trimethoprim and Erythromycin in Escherichia Coli.” Frontiers in Microbiology, vol. 12, 760017, Frontiers, 2021, doi:10.3389/fmicb.2021.760017.","ista":"Qi Q, Angermayr SA, Bollenbach MT. 2021. Uncovering Key Metabolic Determinants of the Drug Interactions Between Trimethoprim and Erythromycin in Escherichia coli. Frontiers in Microbiology. 12, 760017.","chicago":"Qi, Qin, S. Andreas Angermayr, and Mark Tobias Bollenbach. “Uncovering Key Metabolic Determinants of the Drug Interactions Between Trimethoprim and Erythromycin in Escherichia Coli.” Frontiers in Microbiology. Frontiers, 2021. https://doi.org/10.3389/fmicb.2021.760017."},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","quality_controlled":"1","publisher":"Frontiers","oa":1,"acknowledgement":"High-throughput sequencing data were generated by the Vienna BioCenter Core Facilities. The authors would like to thank Karin Mitosch, Bor Kavcic, and Nadine Kraupner for their constructive feedback. The authors would also like to thank Gertraud Stift, Julia Flor, Renate Srsek, Agnieszka Wiktor, and Booshini Fernando for technical support.","date_published":"2021-10-20T00:00:00Z","doi":"10.3389/fmicb.2021.760017","date_created":"2021-11-11T10:39:37Z","has_accepted_license":"1","isi":1,"year":"2021","day":"20","publication":"Frontiers in Microbiology"},{"acknowledgement":"Open access funding provided by Institute of Science and Technology (IST Austria).","oa":1,"quality_controlled":"1","publisher":"Springer Nature","publication":"Communications in Mathematical Physics","day":"29","year":"2021","has_accepted_license":"1","isi":1,"date_created":"2021-11-07T23:01:25Z","date_published":"2021-10-29T00:00:00Z","doi":"10.1007/s00220-021-04239-z","page":"1005–1048","project":[{"name":"IST Austria Open Access Fund","_id":"B67AFEDC-15C9-11EA-A837-991A96BB2854"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","citation":{"ista":"Cipolloni G, Erdös L, Schröder DJ. 2021. Eigenstate thermalization hypothesis for Wigner matrices. Communications in Mathematical Physics. 388(2), 1005–1048.","chicago":"Cipolloni, Giorgio, László Erdös, and Dominik J Schröder. “Eigenstate Thermalization Hypothesis for Wigner Matrices.” Communications in Mathematical Physics. Springer Nature, 2021. https://doi.org/10.1007/s00220-021-04239-z.","ama":"Cipolloni G, Erdös L, Schröder DJ. Eigenstate thermalization hypothesis for Wigner matrices. Communications in Mathematical Physics. 2021;388(2):1005–1048. doi:10.1007/s00220-021-04239-z","apa":"Cipolloni, G., Erdös, L., & Schröder, D. J. (2021). Eigenstate thermalization hypothesis for Wigner matrices. Communications in Mathematical Physics. Springer Nature. https://doi.org/10.1007/s00220-021-04239-z","short":"G. Cipolloni, L. Erdös, D.J. Schröder, Communications in Mathematical Physics 388 (2021) 1005–1048.","ieee":"G. Cipolloni, L. Erdös, and D. J. Schröder, “Eigenstate thermalization hypothesis for Wigner matrices,” Communications in Mathematical Physics, vol. 388, no. 2. Springer Nature, pp. 1005–1048, 2021.","mla":"Cipolloni, Giorgio, et al. “Eigenstate Thermalization Hypothesis for Wigner Matrices.” Communications in Mathematical Physics, vol. 388, no. 2, Springer Nature, 2021, pp. 1005–1048, doi:10.1007/s00220-021-04239-z."},"title":"Eigenstate thermalization hypothesis for Wigner matrices","article_processing_charge":"Yes (via OA deal)","external_id":{"arxiv":["2012.13215"],"isi":["000712232700001"]},"author":[{"id":"42198EFA-F248-11E8-B48F-1D18A9856A87","first_name":"Giorgio","orcid":"0000-0002-4901-7992","full_name":"Cipolloni, Giorgio","last_name":"Cipolloni"},{"id":"4DBD5372-F248-11E8-B48F-1D18A9856A87","first_name":"László","last_name":"Erdös","full_name":"Erdös, László","orcid":"0000-0001-5366-9603"},{"id":"408ED176-F248-11E8-B48F-1D18A9856A87","first_name":"Dominik J","last_name":"Schröder","full_name":"Schröder, Dominik J","orcid":"0000-0002-2904-1856"}],"oa_version":"Published Version","abstract":[{"text":"We prove that any deterministic matrix is approximately the identity in the eigenbasis of a large random Wigner matrix with very high probability and with an optimal error inversely proportional to the square root of the dimension. Our theorem thus rigorously verifies the Eigenstate Thermalisation Hypothesis by Deutsch (Phys Rev A 43:2046–2049, 1991) for the simplest chaotic quantum system, the Wigner ensemble. In mathematical terms, we prove the strong form of Quantum Unique Ergodicity (QUE) with an optimal convergence rate for all eigenvectors simultaneously, generalizing previous probabilistic QUE results in Bourgade and Yau (Commun Math Phys 350:231–278, 2017) and Bourgade et al. (Commun Pure Appl Math 73:1526–1596, 2020).","lang":"eng"}],"intvolume":" 388","month":"10","scopus_import":"1","language":[{"iso":"eng"}],"file":[{"file_size":841426,"date_updated":"2022-02-02T10:19:55Z","creator":"cchlebak","file_name":"2021_CommunMathPhys_Cipolloni.pdf","date_created":"2022-02-02T10:19:55Z","content_type":"application/pdf","relation":"main_file","access_level":"open_access","success":1,"file_id":"10715","checksum":"a2c7b6f5d23b5453cd70d1261272283b"}],"publication_status":"published","publication_identifier":{"issn":["0010-3616"],"eissn":["1432-0916"]},"volume":388,"issue":"2","_id":"10221","status":"public","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"type":"journal_article","article_type":"original","ddc":["510"],"date_updated":"2023-08-14T10:29:49Z","file_date_updated":"2022-02-02T10:19:55Z","department":[{"_id":"LaEr"}]}]