[{"citation":{"ista":"Ali D, Asaad A, Jimenez M-J, Nanda V, Paluzo-Hidalgo E, Soriano Trigueros M. 2023. A survey of vectorization methods in topological data analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12), 14069–14080.","chicago":"Ali, Dashti, Aras Asaad, Maria-Jose Jimenez, Vidit Nanda, Eduardo Paluzo-Hidalgo, and Manuel Soriano Trigueros. “A Survey of Vectorization Methods in Topological Data Analysis.” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>. IEEE, 2023. <a href=\"https://doi.org/10.1109/tpami.2023.3308391\">https://doi.org/10.1109/tpami.2023.3308391</a>.","short":"D. Ali, A. Asaad, M.-J. Jimenez, V. Nanda, E. Paluzo-Hidalgo, M. Soriano Trigueros, IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2023) 14069–14080.","ama":"Ali D, Asaad A, Jimenez M-J, Nanda V, Paluzo-Hidalgo E, Soriano Trigueros M. A survey of vectorization methods in topological data analysis. <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>. 2023;45(12):14069-14080. doi:<a href=\"https://doi.org/10.1109/tpami.2023.3308391\">10.1109/tpami.2023.3308391</a>","mla":"Ali, Dashti, et al. “A Survey of Vectorization Methods in Topological Data Analysis.” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, vol. 45, no. 12, IEEE, 2023, pp. 14069–80, doi:<a href=\"https://doi.org/10.1109/tpami.2023.3308391\">10.1109/tpami.2023.3308391</a>.","apa":"Ali, D., Asaad, A., Jimenez, M.-J., Nanda, V., Paluzo-Hidalgo, E., &#38; Soriano Trigueros, M. (2023). A survey of vectorization methods in topological data analysis. <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>. IEEE. <a href=\"https://doi.org/10.1109/tpami.2023.3308391\">https://doi.org/10.1109/tpami.2023.3308391</a>","ieee":"D. Ali, A. Asaad, M.-J. Jimenez, V. Nanda, E. Paluzo-Hidalgo, and M. Soriano Trigueros, “A survey of vectorization methods in topological data analysis,” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, vol. 45, no. 12. IEEE, pp. 14069–14080, 2023."},"issue":"12","month":"12","keyword":["Applied Mathematics","Artificial Intelligence","Computational Theory and Mathematics","Computer Vision and Pattern Recognition","Software"],"author":[{"full_name":"Ali, Dashti","last_name":"Ali","first_name":"Dashti"},{"full_name":"Asaad, Aras","first_name":"Aras","last_name":"Asaad"},{"full_name":"Jimenez, Maria-Jose","last_name":"Jimenez","first_name":"Maria-Jose"},{"first_name":"Vidit","last_name":"Nanda","full_name":"Nanda, Vidit"},{"first_name":"Eduardo","last_name":"Paluzo-Hidalgo","full_name":"Paluzo-Hidalgo, Eduardo"},{"full_name":"Soriano Trigueros, Manuel","last_name":"Soriano Trigueros","first_name":"Manuel","orcid":"0000-0003-2449-1433","id":"15ebd7cf-15bf-11ee-aebd-bb4bb5121ea8"}],"article_type":"original","oa_version":"Published Version","publication_status":"published","year":"2023","date_published":"2023-12-01T00:00:00Z","file":[{"file_name":"2023_IEEEToP_Ali.pdf","checksum":"465c28ef0b151b4b1fb47977ed5581ab","content_type":"application/pdf","relation":"main_file","access_level":"open_access","date_updated":"2024-01-08T10:09:14Z","creator":"dernst","success":1,"file_id":"14740","file_size":2370988,"date_created":"2024-01-08T10:09:14Z"}],"publication_identifier":{"issn":["0162-8828"],"eissn":["1939-3539"]},"_id":"14739","title":"A survey of vectorization methods in topological data analysis","quality_controlled":"1","intvolume":"        45","department":[{"_id":"HeEd"}],"ddc":["000"],"has_accepted_license":"1","oa":1,"external_id":{"isi":["001104973300002"]},"doi":"10.1109/tpami.2023.3308391","volume":45,"scopus_import":"1","language":[{"iso":"eng"}],"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","abstract":[{"text":"Attempts to incorporate topological information in supervised learning tasks have resulted in the creation of several techniques for vectorizing persistent homology barcodes. In this paper, we study thirteen such methods. Besides describing an organizational framework for these methods, we comprehensively benchmark them against three well-known classification tasks. Surprisingly, we discover that the best-performing method is a simple vectorization, which consists only of a few elementary summary statistics. Finally, we provide a convenient web application which has been designed to facilitate exploration and experimentation with various vectorization methods.","lang":"eng"}],"article_processing_charge":"Yes (in subscription journal)","day":"01","type":"journal_article","date_updated":"2025-09-09T14:08:56Z","status":"public","date_created":"2024-01-08T09:59:46Z","page":"14069-14080","acknowledgement":"The work of Maria-Jose Jimenez, Eduardo Paluzo-Hidalgo and Manuel Soriano-Trigueros was supported in part by the Spanish grant Ministerio de Ciencia e Innovacion under Grants TED2021-129438B-I00 and PID2019-107339GB-I00, and in part by REXASI-PRO H-EU project, call HORIZON-CL4-2021-HUMAN-01-01 under Grant 101070028. The work of\r\nMaria-Jose Jimenez was supported by a grant of Convocatoria de la Universidad de Sevilla para la recualificacion del sistema universitario español, 2021-23, funded by the European Union, NextGenerationEU. The work of Vidit Nanda was supported in part by EPSRC under Grant EP/R018472/1 and in part by US AFOSR under Grant FA9550-22-1-0462. \r\nWe are grateful to the team of GUDHI and TEASPOON developers, for their work and their support. We are also grateful to Streamlit for providing extra resources to deploy the web app\r\nonline on Streamlit community cloud. We thank the anonymous referees for their helpful suggestions.","isi":1,"file_date_updated":"2024-01-08T10:09:14Z","publication":"IEEE Transactions on Pattern Analysis and Machine Intelligence","publisher":"IEEE","tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"}},{"date_created":"2024-01-08T12:43:48Z","status":"public","date_updated":"2025-09-09T14:09:32Z","type":"journal_article","day":"01","publisher":"Cold Spring Harbor Laboratory Press","publication":"Cold Spring Harbor Perspectives in Biology","isi":1,"acknowledgement":"K.L. was funded by a Swiss National Science Foundation Eccellenza project: The evolution of strong reproductive barriers towards the completion of speciation (PCEFP3_202869). R.F.\r\nwas funded by an FCT CEEC (Fundação para a Ciênca e a Tecnologia, Concurso Estímulo ao\r\nEmprego Científico) contract (2020.00275. CEECIND) and by an FCT research project\r\n(PTDC/BIA-EVL/1614/2021). M.R. was funded by the Swedish Research Council Vetenskapsrådet (grant number 2021-05243). A.M.W. was partly funded by the Norwegian Research Council RCN. We thank Luis Silva for his help preparing Figure 1. We are grateful to Maren Wellenreuther, Daniel Bolnick, and two anonymous reviewers for their constructive feedback on an earlier version of this paper.","pmid":1,"volume":15,"doi":"10.1101/cshperspect.a041447","external_id":{"isi":["001096272600001"],"pmid":["37604585"]},"article_processing_charge":"No","abstract":[{"lang":"eng","text":"Chromosomal rearrangements (CRs) have been known since almost the beginning of genetics.\r\nWhile an important role for CRs in speciation has been suggested, evidence primarily stems\r\nfrom theoretical and empirical studies focusing on the microevolutionary level (i.e., on taxon\r\npairs where speciation is often incomplete). Although the role of CRs in eukaryotic speciation at\r\na macroevolutionary level has been supported by associations between species diversity and\r\nrates of evolution of CRs across phylogenies, these findings are limited to a restricted range of\r\nCRs and taxa. Now that more broadly applicable and precise CR detection approaches have\r\nbecome available, we address the challenges in filling some of the conceptual and empirical\r\ngaps between micro- and macroevolutionary studies on the role of CRs in speciation. We\r\nsynthesize what is known about the macroevolutionary impact of CRs and suggest new research avenues to overcome the pitfalls of previous studies to gain a more comprehensive understanding of the evolutionary significance of CRs in speciation across the tree of life."}],"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","language":[{"iso":"eng"}],"article_number":"a041447","scopus_import":"1","intvolume":"        15","quality_controlled":"1","title":"The impact of chromosomal rearrangements in speciation: From micro- to macroevolution","_id":"14742","publication_identifier":{"issn":["1943-0264"]},"oa":1,"main_file_link":[{"url":"https://doi.org/10.1101/cshperspect.a041447","open_access":"1"}],"department":[{"_id":"NiBa"},{"_id":"BeVi"}],"author":[{"full_name":"Lucek, Kay","last_name":"Lucek","first_name":"Kay"},{"full_name":"Giménez, Mabel D.","last_name":"Giménez","first_name":"Mabel D."},{"full_name":"Joron, Mathieu","last_name":"Joron","first_name":"Mathieu"},{"full_name":"Rafajlović, Marina","first_name":"Marina","last_name":"Rafajlović"},{"full_name":"Searle, Jeremy B.","last_name":"Searle","first_name":"Jeremy B."},{"first_name":"Nora","last_name":"Walden","full_name":"Walden, Nora"},{"orcid":"0000-0003-1050-4969","id":"3C147470-F248-11E8-B48F-1D18A9856A87","full_name":"Westram, Anja M","first_name":"Anja M","last_name":"Westram"},{"full_name":"Faria, Rui","last_name":"Faria","first_name":"Rui"}],"keyword":["General Biochemistry","Genetics and Molecular Biology"],"month":"11","citation":{"ista":"Lucek K, Giménez MD, Joron M, Rafajlović M, Searle JB, Walden N, Westram AM, Faria R. 2023. The impact of chromosomal rearrangements in speciation: From micro- to macroevolution. Cold Spring Harbor Perspectives in Biology. 15(11), a041447.","short":"K. Lucek, M.D. Giménez, M. Joron, M. Rafajlović, J.B. Searle, N. Walden, A.M. Westram, R. Faria, Cold Spring Harbor Perspectives in Biology 15 (2023).","chicago":"Lucek, Kay, Mabel D. Giménez, Mathieu Joron, Marina Rafajlović, Jeremy B. Searle, Nora Walden, Anja M Westram, and Rui Faria. “The Impact of Chromosomal Rearrangements in Speciation: From Micro- to Macroevolution.” <i>Cold Spring Harbor Perspectives in Biology</i>. Cold Spring Harbor Laboratory Press, 2023. <a href=\"https://doi.org/10.1101/cshperspect.a041447\">https://doi.org/10.1101/cshperspect.a041447</a>.","ama":"Lucek K, Giménez MD, Joron M, et al. The impact of chromosomal rearrangements in speciation: From micro- to macroevolution. <i>Cold Spring Harbor Perspectives in Biology</i>. 2023;15(11). doi:<a href=\"https://doi.org/10.1101/cshperspect.a041447\">10.1101/cshperspect.a041447</a>","mla":"Lucek, Kay, et al. “The Impact of Chromosomal Rearrangements in Speciation: From Micro- to Macroevolution.” <i>Cold Spring Harbor Perspectives in Biology</i>, vol. 15, no. 11, a041447, Cold Spring Harbor Laboratory Press, 2023, doi:<a href=\"https://doi.org/10.1101/cshperspect.a041447\">10.1101/cshperspect.a041447</a>.","ieee":"K. Lucek <i>et al.</i>, “The impact of chromosomal rearrangements in speciation: From micro- to macroevolution,” <i>Cold Spring Harbor Perspectives in Biology</i>, vol. 15, no. 11. Cold Spring Harbor Laboratory Press, 2023.","apa":"Lucek, K., Giménez, M. D., Joron, M., Rafajlović, M., Searle, J. B., Walden, N., … Faria, R. (2023). The impact of chromosomal rearrangements in speciation: From micro- to macroevolution. <i>Cold Spring Harbor Perspectives in Biology</i>. Cold Spring Harbor Laboratory Press. <a href=\"https://doi.org/10.1101/cshperspect.a041447\">https://doi.org/10.1101/cshperspect.a041447</a>"},"issue":"11","date_published":"2023-11-01T00:00:00Z","year":"2023","publication_status":"published","oa_version":"Published Version","article_type":"original"},{"date_updated":"2025-09-09T14:10:09Z","type":"conference","day":"01","status":"public","date_created":"2024-01-08T12:54:35Z","acknowledgement":"The authors would like to thank Marcos K. Aguilera, Pierluca Borsò, Aleksey Charapko, Rachid Guerraoui, Jovan Komatovic, Derek Leung, Louis-Henri Merino, Shailesh Mishra, Haochen Pan, Rodrigo Rodrigues, Lewis Tseng, and Haoqian Zhang for their helpful feedback on early drafts of this paper.","page":"281-297","publisher":"Association for Computing Machinery","publication":"Proceedings of the 29th Symposium on Operating Systems Principles","isi":1,"doi":"10.1145/3600006.3613150","external_id":{"isi":["001135072900018"]},"language":[{"iso":"eng"}],"scopus_import":"1","article_processing_charge":"No","abstract":[{"text":"Leader-based consensus algorithms are fast and efficient under normal conditions, but lack robustness to adverse conditions due to their reliance on timeouts for liveness. We present QuePaxa, the first protocol offering state-of-the-art normal-case efficiency without depending on timeouts. QuePaxa uses a novel randomized asynchronous consensus core to tolerate adverse conditions such as denial-of-service (DoS) attacks, while a one-round-trip fast path preserves the normal-case efficiency of Multi-Paxos or Raft. By allowing simultaneous proposers without destructive interference, and using short hedging delays instead of conservative timeouts to limit redundant effort, QuePaxa permits rapid recovery after leader failure without risking costly view changes due to false timeouts. By treating leader choice and hedging delay as a multi-armed-bandit optimization, QuePaxa achieves responsiveness to prevalent conditions, and can choose the best leader even if the current one has not failed. Experiments with a prototype confirm that QuePaxa achieves normal-case LAN and WAN performance of 584k and 250k cmd/sec in throughput, respectively, comparable to Multi-Paxos. Under conditions such as DoS attacks, misconfigurations, or slow leaders that severely impact existing protocols, we find that QuePaxa remains live with median latency under 380ms in WAN experiments.","lang":"eng"}],"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","title":"QuePaxa: Escaping the tyranny of timeouts in consensus","_id":"14743","publication_identifier":{"isbn":["9798400702297"]},"quality_controlled":"1","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1145/3600006.3613150"}],"conference":{"location":"Koblenz, Germany","end_date":"2023-10-26","start_date":"2023-10-23","name":"SOSP: Symposium on Operating Systems Principles"},"department":[{"_id":"ElKo"}],"oa":1,"month":"10","citation":{"ama":"Tennage P, Basescu C, Kokoris Kogias E, et al. QuePaxa: Escaping the tyranny of timeouts in consensus. In: <i>Proceedings of the 29th Symposium on Operating Systems Principles</i>. Association for Computing Machinery; 2023:281-297. doi:<a href=\"https://doi.org/10.1145/3600006.3613150\">10.1145/3600006.3613150</a>","mla":"Tennage, Pasindu, et al. “QuePaxa: Escaping the Tyranny of Timeouts in Consensus.” <i>Proceedings of the 29th Symposium on Operating Systems Principles</i>, Association for Computing Machinery, 2023, pp. 281–97, doi:<a href=\"https://doi.org/10.1145/3600006.3613150\">10.1145/3600006.3613150</a>.","apa":"Tennage, P., Basescu, C., Kokoris Kogias, E., Syta, E., Jovanovic, P., Estrada-Galinanes, V., &#38; Ford, B. (2023). QuePaxa: Escaping the tyranny of timeouts in consensus. In <i>Proceedings of the 29th Symposium on Operating Systems Principles</i> (pp. 281–297). Koblenz, Germany: Association for Computing Machinery. <a href=\"https://doi.org/10.1145/3600006.3613150\">https://doi.org/10.1145/3600006.3613150</a>","ieee":"P. Tennage <i>et al.</i>, “QuePaxa: Escaping the tyranny of timeouts in consensus,” in <i>Proceedings of the 29th Symposium on Operating Systems Principles</i>, Koblenz, Germany, 2023, pp. 281–297.","ista":"Tennage P, Basescu C, Kokoris Kogias E, Syta E, Jovanovic P, Estrada-Galinanes V, Ford B. 2023. QuePaxa: Escaping the tyranny of timeouts in consensus. Proceedings of the 29th Symposium on Operating Systems Principles. SOSP: Symposium on Operating Systems Principles, 281–297.","short":"P. Tennage, C. Basescu, E. Kokoris Kogias, E. Syta, P. Jovanovic, V. Estrada-Galinanes, B. Ford, in:, Proceedings of the 29th Symposium on Operating Systems Principles, Association for Computing Machinery, 2023, pp. 281–297.","chicago":"Tennage, Pasindu, Cristina Basescu, Eleftherios Kokoris Kogias, Ewa Syta, Philipp Jovanovic, Vero Estrada-Galinanes, and Bryan Ford. “QuePaxa: Escaping the Tyranny of Timeouts in Consensus.” In <i>Proceedings of the 29th Symposium on Operating Systems Principles</i>, 281–97. Association for Computing Machinery, 2023. <a href=\"https://doi.org/10.1145/3600006.3613150\">https://doi.org/10.1145/3600006.3613150</a>."},"author":[{"first_name":"Pasindu","last_name":"Tennage","full_name":"Tennage, Pasindu"},{"full_name":"Basescu, Cristina","first_name":"Cristina","last_name":"Basescu"},{"id":"f5983044-d7ef-11ea-ac6d-fd1430a26d30","last_name":"Kokoris Kogias","first_name":"Eleftherios","full_name":"Kokoris Kogias, Eleftherios"},{"full_name":"Syta, Ewa","last_name":"Syta","first_name":"Ewa"},{"full_name":"Jovanovic, Philipp","first_name":"Philipp","last_name":"Jovanovic"},{"full_name":"Estrada-Galinanes, Vero","first_name":"Vero","last_name":"Estrada-Galinanes"},{"first_name":"Bryan","last_name":"Ford","full_name":"Ford, Bryan"}],"date_published":"2023-10-01T00:00:00Z","year":"2023","oa_version":"Published Version","publication_status":"published"},{"publication":"eScience","publisher":"Elsevier BV","status":"public","date_created":"2024-09-06T12:56:54Z","date_updated":"2024-11-25T12:41:14Z","type":"journal_article","abstract":[{"text":"Understanding and tuning charge transport over a single molecule is a fundamental topic in molecular electronics. Single-molecule junctions composed of individual molecules attached to two electrodes are the most common components built for single-molecule charge transport studies. During the past two decades, rapid technical and theoretical advances in single-molecule junctions have increased our understanding of the conductance properties and functions of molecular devices. In this perspective article, we introduce the basic principles of charge transport in single-molecule junctions, then give an overview of recent progress in modulating single-molecule transport through external stimuli such as electric field and potential, light, mechanical force, heat, and chemical environment. Lastly, we discuss challenges and offer views on future developments in molecular electronics.","lang":"eng"}],"article_processing_charge":"No","user_id":"68b8ca59-c5b3-11ee-8790-cd641c68093d","article_number":"100115","OA_type":"gold","language":[{"iso":"eng"}],"scopus_import":"1","volume":3,"doi":"10.1016/j.esci.2023.100115","oa":1,"extern":"1","main_file_link":[{"url":"https://www.sciencedirect.com/science/article/pii/S2667141723000332?via%3Dihub","open_access":"1"}],"intvolume":"         3","quality_controlled":"1","_id":"17863","title":"Modulating single-molecule charge transport through external stimulus","publication_identifier":{"eissn":["2667-1417"]},"OA_place":"publisher","date_published":"2023-05-01T00:00:00Z","publication_status":"published","oa_version":"Published Version","year":"2023","article_type":"original","author":[{"first_name":"Qi","last_name":"Zou","full_name":"Zou, Qi"},{"last_name":"Qiu","first_name":"Jin","full_name":"Qiu, Jin"},{"full_name":"Zang, Yaping","first_name":"Yaping","last_name":"Zang"},{"full_name":"Tian, He","last_name":"Tian","first_name":"He"},{"full_name":"Venkataraman, Latha","first_name":"Latha","last_name":"Venkataraman","orcid":"0000-0002-6957-6089","id":"9ebb78a5-cc0d-11ee-8322-fae086a32caf"}],"issue":"3","citation":{"ista":"Zou Q, Qiu J, Zang Y, Tian H, Venkataraman L. 2023. Modulating single-molecule charge transport through external stimulus. eScience. 3(3), 100115.","short":"Q. Zou, J. Qiu, Y. Zang, H. Tian, L. Venkataraman, EScience 3 (2023).","chicago":"Zou, Qi, Jin Qiu, Yaping Zang, He Tian, and Latha Venkataraman. “Modulating Single-Molecule Charge Transport through External Stimulus.” <i>EScience</i>. Elsevier BV, 2023. <a href=\"https://doi.org/10.1016/j.esci.2023.100115\">https://doi.org/10.1016/j.esci.2023.100115</a>.","ama":"Zou Q, Qiu J, Zang Y, Tian H, Venkataraman L. Modulating single-molecule charge transport through external stimulus. <i>eScience</i>. 2023;3(3). doi:<a href=\"https://doi.org/10.1016/j.esci.2023.100115\">10.1016/j.esci.2023.100115</a>","mla":"Zou, Qi, et al. “Modulating Single-Molecule Charge Transport through External Stimulus.” <i>EScience</i>, vol. 3, no. 3, 100115, Elsevier BV, 2023, doi:<a href=\"https://doi.org/10.1016/j.esci.2023.100115\">10.1016/j.esci.2023.100115</a>.","apa":"Zou, Q., Qiu, J., Zang, Y., Tian, H., &#38; Venkataraman, L. (2023). Modulating single-molecule charge transport through external stimulus. <i>EScience</i>. Elsevier BV. <a href=\"https://doi.org/10.1016/j.esci.2023.100115\">https://doi.org/10.1016/j.esci.2023.100115</a>","ieee":"Q. Zou, J. Qiu, Y. Zang, H. Tian, and L. Venkataraman, “Modulating single-molecule charge transport through external stimulus,” <i>eScience</i>, vol. 3, no. 3. Elsevier BV, 2023."},"month":"05"},{"OA_type":"gold","language":[{"iso":"eng"}],"article_processing_charge":"Yes","abstract":[{"lang":"eng","text":"Electric fields have been used to control and direct chemical reactions in biochemistry and enzymatic catalysis, yet directly applying external electric fields to activate reactions in bulk solution and to characterize them ex situ remains a challenge. Here we utilize the scanning tunneling microscope-based break-junction technique to investigate the electric field driven homolytic cleavage of the radical initiator 4-(methylthio)benzoic peroxyanhydride at ambient temperatures in bulk solution, without the use of co-initiators or photochemical activators. Through time-dependent ex situ quantification by high performance liquid chromatography using a UV-vis detector, we find that the electric field catalyzes the reaction. Importantly, we demonstrate that the reaction rate in a field increases linearly with the solvent dielectric constant. Using density functional theory calculations, we show that the applied electric field decreases the dissociation energy of the O–O bond and stabilizes the product relative to the reactant due to their different dipole moments."}],"user_id":"68b8ca59-c5b3-11ee-8790-cd641c68093d","doi":"10.1039/d2sc06411a","external_id":{"pmid":["36819847"]},"volume":14,"pmid":1,"page":"1769-1774","publisher":"Royal Society of Chemistry","publication":"Chemical Science","date_updated":"2024-11-25T15:01:40Z","type":"journal_article","day":"16","status":"public","date_created":"2024-09-06T12:59:45Z","article_type":"original","date_published":"2023-01-16T00:00:00Z","OA_place":"publisher","year":"2023","oa_version":"Published Version","publication_status":"published","month":"01","citation":{"ista":"Zhang B, Schaack C, Prindle CR, Vo EA, Aziz M, Steigerwald ML, Berkelbach TC, Nuckolls C, Venkataraman L. 2023. Electric fields drive bond homolysis. Chemical Science. 14(7), 1769–1774.","short":"B. Zhang, C. Schaack, C.R. Prindle, E.A. Vo, M. Aziz, M.L. Steigerwald, T.C. Berkelbach, C. Nuckolls, L. Venkataraman, Chemical Science 14 (2023) 1769–1774.","chicago":"Zhang, Boyuan, Cedric Schaack, Claudia R. Prindle, Ethan A. Vo, Miriam Aziz, Michael L. Steigerwald, Timothy C. Berkelbach, Colin Nuckolls, and Latha Venkataraman. “Electric Fields Drive Bond Homolysis.” <i>Chemical Science</i>. Royal Society of Chemistry, 2023. <a href=\"https://doi.org/10.1039/d2sc06411a\">https://doi.org/10.1039/d2sc06411a</a>.","mla":"Zhang, Boyuan, et al. “Electric Fields Drive Bond Homolysis.” <i>Chemical Science</i>, vol. 14, no. 7, Royal Society of Chemistry, 2023, pp. 1769–74, doi:<a href=\"https://doi.org/10.1039/d2sc06411a\">10.1039/d2sc06411a</a>.","apa":"Zhang, B., Schaack, C., Prindle, C. R., Vo, E. A., Aziz, M., Steigerwald, M. L., … Venkataraman, L. (2023). Electric fields drive bond homolysis. <i>Chemical Science</i>. Royal Society of Chemistry. <a href=\"https://doi.org/10.1039/d2sc06411a\">https://doi.org/10.1039/d2sc06411a</a>","ieee":"B. Zhang <i>et al.</i>, “Electric fields drive bond homolysis,” <i>Chemical Science</i>, vol. 14, no. 7. Royal Society of Chemistry, pp. 1769–1774, 2023.","ama":"Zhang B, Schaack C, Prindle CR, et al. Electric fields drive bond homolysis. <i>Chemical Science</i>. 2023;14(7):1769-1774. doi:<a href=\"https://doi.org/10.1039/d2sc06411a\">10.1039/d2sc06411a</a>"},"issue":"7","author":[{"first_name":"Boyuan","last_name":"Zhang","full_name":"Zhang, Boyuan"},{"full_name":"Schaack, Cedric","last_name":"Schaack","first_name":"Cedric"},{"full_name":"Prindle, Claudia R.","last_name":"Prindle","first_name":"Claudia R."},{"full_name":"Vo, Ethan A.","first_name":"Ethan A.","last_name":"Vo"},{"last_name":"Aziz","first_name":"Miriam","full_name":"Aziz, Miriam"},{"last_name":"Steigerwald","first_name":"Michael L.","full_name":"Steigerwald, Michael L."},{"full_name":"Berkelbach, Timothy C.","last_name":"Berkelbach","first_name":"Timothy C."},{"first_name":"Colin","last_name":"Nuckolls","full_name":"Nuckolls, Colin"},{"orcid":"0000-0002-6957-6089","id":"9ebb78a5-cc0d-11ee-8322-fae086a32caf","last_name":"Venkataraman","first_name":"Latha","full_name":"Venkataraman, Latha"}],"extern":"1","main_file_link":[{"url":"https://europepmc.org/article/pmc/pmc9931054","open_access":"1"}],"oa":1,"title":"Electric fields drive bond homolysis","_id":"17866","publication_identifier":{"issn":["2041-6520"],"eissn":["2041-6539"]},"intvolume":"        14","quality_controlled":"1"},{"department":[{"_id":"TiBr"}],"oa":1,"ddc":["510"],"has_accepted_license":"1","_id":"18179","title":"p-adic directions of primitive vectors","file":[{"date_updated":"2024-10-07T11:32:32Z","access_level":"open_access","date_created":"2024-10-07T11:32:32Z","file_size":1399390,"file_id":"18186","success":1,"creator":"dernst","checksum":"cefc47a2cf55a87f8e4960197f73353b","file_name":"2023_MathBesancon_Guilloux.pdf","relation":"main_file","content_type":"application/pdf"}],"publication_identifier":{"issn":["2804-8504"],"eissn":["2592-6616"]},"intvolume":"      2023","quality_controlled":"1","corr_author":"1","article_type":"original","date_published":"2023-06-15T00:00:00Z","oa_version":"Published Version","license":"https://creativecommons.org/licenses/by-nd/4.0/","publication_status":"published","year":"2023","citation":{"chicago":"Guilloux, Antonin, and Tal Horesh. “P-Adic Directions of Primitive Vectors.” <i>Publications Mathématiques de Besançon - Algèbre et Théorie Des Nombres</i>. Presses Universitaires de Franche-Comté, 2023. <a href=\"https://doi.org/10.5802/pmb.50\">https://doi.org/10.5802/pmb.50</a>.","short":"A. Guilloux, T. Horesh, Publications Mathématiques de Besançon - Algèbre et Théorie Des Nombres 2023 (2023) 85–107.","ista":"Guilloux A, Horesh T. 2023. p-adic directions of primitive vectors. Publications mathématiques de Besançon - Algèbre et Théorie des nombres. 2023, 85–107.","ama":"Guilloux A, Horesh T. p-adic directions of primitive vectors. <i>Publications mathématiques de Besançon - Algèbre et Théorie des nombres</i>. 2023;2023:85-107. doi:<a href=\"https://doi.org/10.5802/pmb.50\">10.5802/pmb.50</a>","ieee":"A. Guilloux and T. Horesh, “p-adic directions of primitive vectors,” <i>Publications mathématiques de Besançon - Algèbre et Théorie des nombres</i>, vol. 2023. Presses Universitaires de Franche-Comté, pp. 85–107, 2023.","apa":"Guilloux, A., &#38; Horesh, T. (2023). p-adic directions of primitive vectors. <i>Publications Mathématiques de Besançon - Algèbre et Théorie Des Nombres</i>. Presses Universitaires de Franche-Comté. <a href=\"https://doi.org/10.5802/pmb.50\">https://doi.org/10.5802/pmb.50</a>","mla":"Guilloux, Antonin, and Tal Horesh. “P-Adic Directions of Primitive Vectors.” <i>Publications Mathématiques de Besançon - Algèbre et Théorie Des Nombres</i>, vol. 2023, Presses Universitaires de Franche-Comté, 2023, pp. 85–107, doi:<a href=\"https://doi.org/10.5802/pmb.50\">10.5802/pmb.50</a>."},"month":"06","author":[{"last_name":"Guilloux","first_name":"Antonin","full_name":"Guilloux, Antonin"},{"first_name":"Tal","last_name":"Horesh","full_name":"Horesh, Tal","id":"C8B7BF48-8D81-11E9-BCA9-F536E6697425"}],"acknowledgement":"The second author is supported by EPRSC grant EP/P026710/1.","page":"85-107","publication":"Publications mathématiques de Besançon - Algèbre et Théorie des nombres","publisher":"Presses Universitaires de Franche-Comté","tmp":{"short":"CC BY-ND (4.0)","image":"/image/cc_by_nd.png","name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nd/4.0/legalcode"},"file_date_updated":"2024-10-07T11:32:32Z","date_updated":"2025-04-14T09:25:44Z","arxiv":1,"day":"15","type":"journal_article","status":"public","date_created":"2024-10-06T22:01:13Z","language":[{"iso":"eng"}],"scopus_import":"1","abstract":[{"lang":"eng","text":"Linnik type problems concern the distribution of projections of integral points on the unit sphere as their norm increases, and different generalizations of this phenomenon. Our work addresses a question of this type: we prove the uniform distribution of the projections of primitive Z2 points in the p-adic unit sphere, as their (real) norm tends to infinity. The proof is via counting lattice points in semi-simple S-arithmetic groups."},{"text":"Les problèmes de type Linnik concernent la distribution des projections des points entiers sur la sphère unitaire lorsque leur norme augmente et différentes généralisations de ce phénomène. Notre travail s’intéresse à une question de ce type : nous prouvons la distribution uniforme des projections des points primitifs de Z2 sur la sphère unitaire p-adique lorsque leur norme (réelle) tend vers l’infini. La preuve se fait en comptant les points d’un réseau dans des S-groupes arithmétiques semi-simples.","lang":"fre"}],"article_processing_charge":"Yes (in subscription journal)","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","project":[{"grant_number":"EP-P026710-2","name":"Between rational and integral points","_id":"26A8D266-B435-11E9-9278-68D0E5697425"}],"external_id":{"arxiv":["2103.10889"]},"doi":"10.5802/pmb.50","volume":2023},{"date_updated":"2024-10-08T11:09:24Z","arxiv":1,"type":"journal_article","day":"21","date_created":"2024-10-07T11:46:13Z","status":"public","pmid":1,"page":"495-499","publisher":"Springer Nature","publication":"Nature","doi":"10.1038/s41586-023-06122-4","external_id":{"pmid":["37344594 "],"arxiv":["2210.10919"]},"volume":619,"language":[{"iso":"eng"}],"scopus_import":"1","article_processing_charge":"No","abstract":[{"text":"Strongly interacting topological matter1 exhibits fundamentally new phenomena with potential applications in quantum information technology2,3. Emblematic instances are fractional quantum Hall (FQH) states4, in which the interplay of a magnetic field and strong interactions gives rise to fractionally charged quasi-particles, long-ranged entanglement and anyonic exchange statistics. Progress in engineering synthetic magnetic fields5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21 has raised the hope to create these exotic states in controlled quantum systems. However, except for a recent Laughlin state of light22, preparing FQH states in engineered systems remains elusive. Here we realize a FQH state with ultracold atoms in an optical lattice. The state is a lattice version of a bosonic ν = 1/2 Laughlin state4,23 with two particles on 16 sites. This minimal system already captures many hallmark features of Laughlin-type FQH states24,25,26,27,28: we observe a suppression of two-body interactions, we find a distinctive vortex structure in the density correlations and we measure a fractional Hall conductivity of σH/σ0 = 0.6(2) by means of the bulk response to a magnetic perturbation. Furthermore, by tuning the magnetic field, we map out the transition point between the normal and the FQH regime through a spectroscopic investigation of the many-body gap. Our work provides a starting point for exploring highly entangled topological matter with ultracold atoms29,30,31,32,33.","lang":"eng"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"Realization of a fractional quantum Hall state with ultracold atoms","_id":"18189","publication_identifier":{"eissn":["1476-4687"],"issn":["0028-0836"]},"intvolume":"       619","quality_controlled":"1","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2210.10919"}],"extern":"1","oa":1,"month":"06","issue":"7970","citation":{"ista":"Leonard J, Kim S, Kwan J, Segura P, Grusdt F, Repellin C, Goldman N, Greiner M. 2023. Realization of a fractional quantum Hall state with ultracold atoms. Nature. 619(7970), 495–499.","short":"J. Leonard, S. Kim, J. Kwan, P. Segura, F. Grusdt, C. Repellin, N. Goldman, M. Greiner, Nature 619 (2023) 495–499.","chicago":"Leonard, Julian, Sooshin Kim, Joyce Kwan, Perrin Segura, Fabian Grusdt, Cécile Repellin, Nathan Goldman, and Markus Greiner. “Realization of a Fractional Quantum Hall State with Ultracold Atoms.” <i>Nature</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s41586-023-06122-4\">https://doi.org/10.1038/s41586-023-06122-4</a>.","ama":"Leonard J, Kim S, Kwan J, et al. Realization of a fractional quantum Hall state with ultracold atoms. <i>Nature</i>. 2023;619(7970):495-499. doi:<a href=\"https://doi.org/10.1038/s41586-023-06122-4\">10.1038/s41586-023-06122-4</a>","mla":"Leonard, Julian, et al. “Realization of a Fractional Quantum Hall State with Ultracold Atoms.” <i>Nature</i>, vol. 619, no. 7970, Springer Nature, 2023, pp. 495–99, doi:<a href=\"https://doi.org/10.1038/s41586-023-06122-4\">10.1038/s41586-023-06122-4</a>.","ieee":"J. Leonard <i>et al.</i>, “Realization of a fractional quantum Hall state with ultracold atoms,” <i>Nature</i>, vol. 619, no. 7970. Springer Nature, pp. 495–499, 2023.","apa":"Leonard, J., Kim, S., Kwan, J., Segura, P., Grusdt, F., Repellin, C., … Greiner, M. (2023). Realization of a fractional quantum Hall state with ultracold atoms. <i>Nature</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41586-023-06122-4\">https://doi.org/10.1038/s41586-023-06122-4</a>"},"author":[{"id":"b75b3f45-7995-11ef-9bfd-9a9cd02c3577","first_name":"Julian","last_name":"Leonard","full_name":"Leonard, Julian"},{"last_name":"Kim","first_name":"Sooshin","full_name":"Kim, Sooshin"},{"full_name":"Kwan, Joyce","last_name":"Kwan","first_name":"Joyce"},{"full_name":"Segura, Perrin","last_name":"Segura","first_name":"Perrin"},{"first_name":"Fabian","last_name":"Grusdt","full_name":"Grusdt, Fabian"},{"full_name":"Repellin, Cécile","first_name":"Cécile","last_name":"Repellin"},{"last_name":"Goldman","first_name":"Nathan","full_name":"Goldman, Nathan"},{"full_name":"Greiner, Markus","first_name":"Markus","last_name":"Greiner"}],"article_type":"original","date_published":"2023-06-21T00:00:00Z","year":"2023","oa_version":"Preprint","publication_status":"published"},{"status":"public","date_created":"2024-10-07T11:46:33Z","date_updated":"2024-10-08T10:52:08Z","arxiv":1,"day":"26","type":"journal_article","publication":"Nature Physics","publisher":"Springer Nature","page":"481-485","volume":19,"external_id":{"arxiv":["2012.15270"]},"doi":"10.1038/s41567-022-01887-3","abstract":[{"text":"Strongly correlated systems can exhibit unexpected phenomena when brought in a state far from equilibrium. An example is many-body localization, which prevents generic interacting systems from reaching thermal equilibrium even at long times1,2. The stability of the many-body localized phase has been predicted to be hindered by the presence of small thermal inclusions that act as a bath, leading to the delocalization of the entire system through an avalanche propagation mechanism3,4,5,6,7,8. Here we study the dynamics of a thermal inclusion of variable size when it is coupled to a many-body localized system. We find evidence for accelerated transport of thermal inclusion into the localized region. We monitor how the avalanche spreads through the localized system and thermalizes it site by site by measuring the site-resolved entropy over time. Furthermore, we isolate the strongly correlated bath-induced dynamics with multipoint correlations between the bath and the system. Our results have implications on the robustness of many-body localized systems and their critical behaviour.","lang":"eng"}],"article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","language":[{"iso":"eng"}],"scopus_import":"1","intvolume":"        19","quality_controlled":"1","_id":"18190","title":"Probing the onset of quantum avalanches in a many-body localized system","publication_identifier":{"eissn":["1745-2481"],"issn":["1745-2473"]},"oa":1,"extern":"1","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2012.15270"}],"author":[{"full_name":"Leonard, Julian","first_name":"Julian","last_name":"Leonard","id":"b75b3f45-7995-11ef-9bfd-9a9cd02c3577"},{"full_name":"Kim, Sooshin","first_name":"Sooshin","last_name":"Kim"},{"last_name":"Rispoli","first_name":"Matthew","full_name":"Rispoli, Matthew"},{"full_name":"Lukin, Alexander","last_name":"Lukin","first_name":"Alexander"},{"full_name":"Schittko, Robert","last_name":"Schittko","first_name":"Robert"},{"full_name":"Kwan, Joyce","first_name":"Joyce","last_name":"Kwan"},{"last_name":"Demler","first_name":"Eugene","full_name":"Demler, Eugene"},{"full_name":"Sels, Dries","first_name":"Dries","last_name":"Sels"},{"first_name":"Markus","last_name":"Greiner","full_name":"Greiner, Markus"}],"issue":"4","citation":{"ista":"Leonard J, Kim S, Rispoli M, Lukin A, Schittko R, Kwan J, Demler E, Sels D, Greiner M. 2023. Probing the onset of quantum avalanches in a many-body localized system. Nature Physics. 19(4), 481–485.","chicago":"Leonard, Julian, Sooshin Kim, Matthew Rispoli, Alexander Lukin, Robert Schittko, Joyce Kwan, Eugene Demler, Dries Sels, and Markus Greiner. “Probing the Onset of Quantum Avalanches in a Many-Body Localized System.” <i>Nature Physics</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s41567-022-01887-3\">https://doi.org/10.1038/s41567-022-01887-3</a>.","short":"J. Leonard, S. Kim, M. Rispoli, A. Lukin, R. Schittko, J. Kwan, E. Demler, D. Sels, M. Greiner, Nature Physics 19 (2023) 481–485.","ama":"Leonard J, Kim S, Rispoli M, et al. Probing the onset of quantum avalanches in a many-body localized system. <i>Nature Physics</i>. 2023;19(4):481-485. doi:<a href=\"https://doi.org/10.1038/s41567-022-01887-3\">10.1038/s41567-022-01887-3</a>","mla":"Leonard, Julian, et al. “Probing the Onset of Quantum Avalanches in a Many-Body Localized System.” <i>Nature Physics</i>, vol. 19, no. 4, Springer Nature, 2023, pp. 481–85, doi:<a href=\"https://doi.org/10.1038/s41567-022-01887-3\">10.1038/s41567-022-01887-3</a>.","ieee":"J. Leonard <i>et al.</i>, “Probing the onset of quantum avalanches in a many-body localized system,” <i>Nature Physics</i>, vol. 19, no. 4. Springer Nature, pp. 481–485, 2023.","apa":"Leonard, J., Kim, S., Rispoli, M., Lukin, A., Schittko, R., Kwan, J., … Greiner, M. (2023). Probing the onset of quantum avalanches in a many-body localized system. <i>Nature Physics</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41567-022-01887-3\">https://doi.org/10.1038/s41567-022-01887-3</a>"},"month":"01","date_published":"2023-01-26T00:00:00Z","publication_status":"published","oa_version":"Preprint","year":"2023","article_type":"letter_note"},{"intvolume":"        13","quality_controlled":"1","_id":"18207","title":"Water stabilizes an alternate turn conformation in horse heart myoglobin","publication_identifier":{"issn":["2045-2322"]},"oa":1,"has_accepted_license":"1","extern":"1","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1038/s41598-023-32821-z"}],"author":[{"id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","orcid":"0000-0001-9699-8730","full_name":"Bronstein, Alexander","first_name":"Alexander","last_name":"Bronstein"},{"full_name":"Marx, Ailie","last_name":"Marx","first_name":"Ailie"}],"citation":{"mla":"Bronstein, Alex M., and Ailie Marx. “Water Stabilizes an Alternate Turn Conformation in Horse Heart Myoglobin.” <i>Scientific Reports</i>, vol. 13, 6094, Springer Nature, 2023, doi:<a href=\"https://doi.org/10.1038/s41598-023-32821-z\">10.1038/s41598-023-32821-z</a>.","apa":"Bronstein, A. M., &#38; Marx, A. (2023). Water stabilizes an alternate turn conformation in horse heart myoglobin. <i>Scientific Reports</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41598-023-32821-z\">https://doi.org/10.1038/s41598-023-32821-z</a>","ieee":"A. M. Bronstein and A. Marx, “Water stabilizes an alternate turn conformation in horse heart myoglobin,” <i>Scientific Reports</i>, vol. 13. Springer Nature, 2023.","ama":"Bronstein AM, Marx A. Water stabilizes an alternate turn conformation in horse heart myoglobin. <i>Scientific Reports</i>. 2023;13. doi:<a href=\"https://doi.org/10.1038/s41598-023-32821-z\">10.1038/s41598-023-32821-z</a>","ista":"Bronstein AM, Marx A. 2023. Water stabilizes an alternate turn conformation in horse heart myoglobin. Scientific Reports. 13, 6094.","chicago":"Bronstein, Alex M., and Ailie Marx. “Water Stabilizes an Alternate Turn Conformation in Horse Heart Myoglobin.” <i>Scientific Reports</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s41598-023-32821-z\">https://doi.org/10.1038/s41598-023-32821-z</a>.","short":"A.M. Bronstein, A. Marx, Scientific Reports 13 (2023)."},"month":"04","date_published":"2023-04-13T00:00:00Z","publication_status":"published","oa_version":"Published Version","year":"2023","article_type":"original","date_created":"2024-10-08T12:46:41Z","status":"public","date_updated":"2024-10-09T10:39:26Z","day":"13","type":"journal_article","publication":"Scientific Reports","tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"publisher":"Springer Nature","pmid":1,"volume":13,"external_id":{"pmid":["37055458"]},"doi":"10.1038/s41598-023-32821-z","abstract":[{"text":"Comparison of myoglobin structures reveals that protein isolated from horse heart consistently adopts an alternate turn conformation in comparison to its homologues. Analysis of hundreds of high-resolution structures discounts crystallization conditions or the surrounding amino acid protein environment as explaining this difference, that is also not captured by the AlphaFold prediction. Rather, a water molecule is identified as stabilizing the conformation in the horse heart structure, which immediately reverts to the whale conformation in molecular dynamics simulations excluding that structural water.","lang":"eng"}],"article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_number":"6094","language":[{"iso":"eng"}],"scopus_import":"1"},{"publication_identifier":{"issn":["2662-8457"]},"title":"Guided diffusion for inverse molecular design","_id":"18208","quality_controlled":"1","intvolume":"         3","main_file_link":[{"url":"https://doi.org/10.26434/chemrxiv-2023-z8ltp","open_access":"1"}],"extern":"1","oa":1,"month":"10","citation":{"short":"T. Weiss, E. Mayo Yanes, S. Chakraborty, L. Cosmo, A.M. Bronstein, R. Gershoni-Poranne, Nature Computational Science 3 (2023) 873–882.","chicago":"Weiss, Tomer, Eduardo Mayo Yanes, Sabyasachi Chakraborty, Luca Cosmo, Alex M. Bronstein, and Renana Gershoni-Poranne. “Guided Diffusion for Inverse Molecular Design.” <i>Nature Computational Science</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s43588-023-00532-0\">https://doi.org/10.1038/s43588-023-00532-0</a>.","ista":"Weiss T, Mayo Yanes E, Chakraborty S, Cosmo L, Bronstein AM, Gershoni-Poranne R. 2023. Guided diffusion for inverse molecular design. Nature Computational Science. 3(10), 873–882.","ama":"Weiss T, Mayo Yanes E, Chakraborty S, Cosmo L, Bronstein AM, Gershoni-Poranne R. Guided diffusion for inverse molecular design. <i>Nature Computational Science</i>. 2023;3(10):873-882. doi:<a href=\"https://doi.org/10.1038/s43588-023-00532-0\">10.1038/s43588-023-00532-0</a>","apa":"Weiss, T., Mayo Yanes, E., Chakraborty, S., Cosmo, L., Bronstein, A. M., &#38; Gershoni-Poranne, R. (2023). Guided diffusion for inverse molecular design. <i>Nature Computational Science</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s43588-023-00532-0\">https://doi.org/10.1038/s43588-023-00532-0</a>","ieee":"T. Weiss, E. Mayo Yanes, S. Chakraborty, L. Cosmo, A. M. Bronstein, and R. Gershoni-Poranne, “Guided diffusion for inverse molecular design,” <i>Nature Computational Science</i>, vol. 3, no. 10. Springer Nature, pp. 873–882, 2023.","mla":"Weiss, Tomer, et al. “Guided Diffusion for Inverse Molecular Design.” <i>Nature Computational Science</i>, vol. 3, no. 10, Springer Nature, 2023, pp. 873–82, doi:<a href=\"https://doi.org/10.1038/s43588-023-00532-0\">10.1038/s43588-023-00532-0</a>."},"issue":"10","author":[{"full_name":"Weiss, Tomer","last_name":"Weiss","first_name":"Tomer"},{"last_name":"Mayo Yanes","first_name":"Eduardo","full_name":"Mayo Yanes, Eduardo"},{"full_name":"Chakraborty, Sabyasachi","last_name":"Chakraborty","first_name":"Sabyasachi"},{"first_name":"Luca","last_name":"Cosmo","full_name":"Cosmo, Luca"},{"full_name":"Bronstein, Alexander","first_name":"Alexander","last_name":"Bronstein","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","orcid":"0000-0001-9699-8730"},{"full_name":"Gershoni-Poranne, Renana","first_name":"Renana","last_name":"Gershoni-Poranne"}],"article_type":"original","year":"2023","oa_version":"Preprint","publication_status":"published","date_published":"2023-10-05T00:00:00Z","type":"journal_article","day":"05","date_updated":"2024-10-09T10:44:41Z","status":"public","date_created":"2024-10-08T12:46:58Z","page":"873-882","pmid":1,"publisher":"Springer Nature","publication":"Nature Computational Science","doi":"10.1038/s43588-023-00532-0","external_id":{"pmid":["38177755"]},"volume":3,"scopus_import":"1","language":[{"iso":"eng"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_processing_charge":"No","abstract":[{"text":"The holy grail of materials science is de novo molecular design, meaning engineering molecules with desired characteristics. The introduction of generative deep learning has greatly advanced efforts in this direction, yet molecular discovery remains challenging and often inefficient. Herein we introduce GaUDI, a guided diffusion model for inverse molecular design that combines an equivariant graph neural net for property prediction and a generative diffusion model. We demonstrate GaUDI’s effectiveness in designing molecules for organic electronic applications by using single- and multiple-objective tasks applied to a generated dataset of 475,000 polycyclic aromatic systems. GaUDI shows improved conditional design, generating molecules with optimal properties and even going beyond the original distribution to suggest better molecules than those in the dataset. In addition to point-wise targets, GaUDI can also be guided toward open-ended targets (for example, a minimum or maximum) and in all cases achieves close to 100% validity of generated molecules.","lang":"eng"}]},{"day":"25","type":"journal_article","date_updated":"2024-10-09T10:49:42Z","status":"public","date_created":"2024-10-08T12:47:17Z","page":"9645-9656","pmid":1,"publication":"The Journal of Organic Chemistry","publisher":"American Chemical Society","external_id":{"pmid":["36696660"]},"doi":"10.1021/acs.joc.2c02381","volume":88,"scopus_import":"1","language":[{"iso":"eng"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","abstract":[{"text":"In this work, interpretable deep learning was used to identify structure–property relationships governing the HOMO–LUMO gap and the relative stability of polybenzenoid hydrocarbons (PBHs) using a ring-based graph representation. This representation was combined with a subunit-based perception of PBHs, allowing chemical insights to be presented in terms of intuitive and simple structural motifs. The resulting insights agree with conventional organic chemistry knowledge and electronic structure-based analyses and also reveal new behaviors and identify influential structural motifs. In particular, we evaluated and compared the effects of linear, angular, and branching motifs on these two molecular properties and explored the role of dispersion in mitigating the torsional strain inherent in nonplanar PBHs. Hence, the observed regularities and the proposed analysis contribute to a deeper understanding of the behavior of PBHs and form the foundation for design strategies for new functional PBHs.","lang":"eng"}],"article_processing_charge":"No","publication_identifier":{"issn":["0022-3263"],"eissn":["1520-6904"]},"_id":"18209","title":"Interpretable deep-learning unveils structure–property relationships in polybenzenoid hydrocarbons","quality_controlled":"1","intvolume":"        88","extern":"1","main_file_link":[{"url":"10.26434/chemrxiv-2022-krng1","open_access":"1"}],"oa":1,"citation":{"ista":"Weiss T, Wahab A, Bronstein AM, Gershoni-Poranne R. 2023. Interpretable deep-learning unveils structure–property relationships in polybenzenoid hydrocarbons. The Journal of Organic Chemistry. 88(14), 9645–9656.","chicago":"Weiss, Tomer, Alexandra Wahab, Alex M. Bronstein, and Renana Gershoni-Poranne. “Interpretable Deep-Learning Unveils Structure–Property Relationships in Polybenzenoid Hydrocarbons.” <i>The Journal of Organic Chemistry</i>. American Chemical Society, 2023. <a href=\"https://doi.org/10.1021/acs.joc.2c02381\">https://doi.org/10.1021/acs.joc.2c02381</a>.","short":"T. Weiss, A. Wahab, A.M. Bronstein, R. Gershoni-Poranne, The Journal of Organic Chemistry 88 (2023) 9645–9656.","mla":"Weiss, Tomer, et al. “Interpretable Deep-Learning Unveils Structure–Property Relationships in Polybenzenoid Hydrocarbons.” <i>The Journal of Organic Chemistry</i>, vol. 88, no. 14, American Chemical Society, 2023, pp. 9645–56, doi:<a href=\"https://doi.org/10.1021/acs.joc.2c02381\">10.1021/acs.joc.2c02381</a>.","apa":"Weiss, T., Wahab, A., Bronstein, A. M., &#38; Gershoni-Poranne, R. (2023). Interpretable deep-learning unveils structure–property relationships in polybenzenoid hydrocarbons. <i>The Journal of Organic Chemistry</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acs.joc.2c02381\">https://doi.org/10.1021/acs.joc.2c02381</a>","ieee":"T. Weiss, A. Wahab, A. M. Bronstein, and R. Gershoni-Poranne, “Interpretable deep-learning unveils structure–property relationships in polybenzenoid hydrocarbons,” <i>The Journal of Organic Chemistry</i>, vol. 88, no. 14. American Chemical Society, pp. 9645–9656, 2023.","ama":"Weiss T, Wahab A, Bronstein AM, Gershoni-Poranne R. Interpretable deep-learning unveils structure–property relationships in polybenzenoid hydrocarbons. <i>The Journal of Organic Chemistry</i>. 2023;88(14):9645-9656. doi:<a href=\"https://doi.org/10.1021/acs.joc.2c02381\">10.1021/acs.joc.2c02381</a>"},"issue":"14","month":"01","author":[{"full_name":"Weiss, Tomer","last_name":"Weiss","first_name":"Tomer"},{"last_name":"Wahab","first_name":"Alexandra","full_name":"Wahab, Alexandra"},{"full_name":"Bronstein, Alexander","first_name":"Alexander","last_name":"Bronstein","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","orcid":"0000-0001-9699-8730"},{"full_name":"Gershoni-Poranne, Renana","first_name":"Renana","last_name":"Gershoni-Poranne"}],"article_type":"original","oa_version":"Preprint","publication_status":"published","year":"2023","date_published":"2023-01-25T00:00:00Z"},{"publication_status":"published","oa_version":"Preprint","year":"2023","date_published":"2023-11-01T00:00:00Z","article_type":"original","author":[{"first_name":"Yuhan","last_name":"Chen","full_name":"Chen, Yuhan"},{"last_name":"Ye","first_name":"Haojie","full_name":"Ye, Haojie"},{"first_name":"Sanketh","last_name":"Vedula","full_name":"Vedula, Sanketh"},{"first_name":"Alexander","last_name":"Bronstein","full_name":"Bronstein, Alexander","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","orcid":"0000-0001-9699-8730"},{"full_name":"Dreslinski, Ronald","last_name":"Dreslinski","first_name":"Ronald"},{"full_name":"Mudge, Trevor","first_name":"Trevor","last_name":"Mudge"},{"last_name":"Talati","first_name":"Nishil","full_name":"Talati, Nishil"}],"issue":"3","citation":{"short":"Y. Chen, H. Ye, S. Vedula, A.M. Bronstein, R. Dreslinski, T. Mudge, N. Talati, Proceedings of the VLDB Endowment 17 (2023) 427–440.","chicago":"Chen, Yuhan, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald Dreslinski, Trevor Mudge, and Nishil Talati. “Demystifying Graph Sparsification Algorithms in Graph Properties Preservation.” <i>Proceedings of the VLDB Endowment</i>. Association for Computing Machinery, 2023. <a href=\"https://doi.org/10.14778/3632093.3632106\">https://doi.org/10.14778/3632093.3632106</a>.","ista":"Chen Y, Ye H, Vedula S, Bronstein AM, Dreslinski R, Mudge T, Talati N. 2023. Demystifying graph sparsification algorithms in graph properties preservation. Proceedings of the VLDB Endowment. 17(3), 427–440.","ama":"Chen Y, Ye H, Vedula S, et al. Demystifying graph sparsification algorithms in graph properties preservation. <i>Proceedings of the VLDB Endowment</i>. 2023;17(3):427-440. doi:<a href=\"https://doi.org/10.14778/3632093.3632106\">10.14778/3632093.3632106</a>","apa":"Chen, Y., Ye, H., Vedula, S., Bronstein, A. M., Dreslinski, R., Mudge, T., &#38; Talati, N. (2023). Demystifying graph sparsification algorithms in graph properties preservation. <i>Proceedings of the VLDB Endowment</i>. Association for Computing Machinery. <a href=\"https://doi.org/10.14778/3632093.3632106\">https://doi.org/10.14778/3632093.3632106</a>","ieee":"Y. Chen <i>et al.</i>, “Demystifying graph sparsification algorithms in graph properties preservation,” <i>Proceedings of the VLDB Endowment</i>, vol. 17, no. 3. Association for Computing Machinery, pp. 427–440, 2023.","mla":"Chen, Yuhan, et al. “Demystifying Graph Sparsification Algorithms in Graph Properties Preservation.” <i>Proceedings of the VLDB Endowment</i>, vol. 17, no. 3, Association for Computing Machinery, 2023, pp. 427–40, doi:<a href=\"https://doi.org/10.14778/3632093.3632106\">10.14778/3632093.3632106</a>."},"month":"11","oa":1,"extern":"1","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2311.12314","open_access":"1"}],"quality_controlled":"1","intvolume":"        17","publication_identifier":{"issn":["2150-8097"]},"_id":"18214","title":"Demystifying graph sparsification algorithms in graph properties preservation","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","abstract":[{"text":"Graph sparsification is a technique that approximates a given graph by a sparse graph with a subset of vertices and/or edges. The goal of an effective sparsification algorithm is to maintain specific graph properties relevant to the downstream task while minimizing the graph's size. Graph algorithms often suffer from long execution time due to the irregularity and the large real-world graph size. Graph sparsification can be applied to greatly reduce the run time of graph algorithms by substituting the full graph with a much smaller sparsified graph, without significantly degrading the output quality. However, the interaction between numerous sparsifiers and graph properties is not widely explored, and the potential of graph sparsification is not fully understood.</jats:p>\r\n          <jats:p>In this work, we cover 16 widely-used graph metrics, 12 representative graph sparsification algorithms, and 14 real-world input graphs spanning various categories, exhibiting diverse characteristics, sizes, and densities. We developed a framework to extensively assess the performance of these sparsification algorithms against graph metrics, and provide insights to the results. Our study shows that there is no one sparsifier that performs the best in preserving all graph properties, e.g. sparsifiers that preserve distance-related graph properties (eccentricity) struggle to perform well on Graph Neural Networks (GNN). This paper presents a comprehensive experimental study evaluating the performance of sparsification algorithms in preserving essential graph metrics. The insights inform future research in incorporating matching graph sparsification to graph algorithms to maximize benefits while minimizing quality degradation. Furthermore, we provide a framework to facilitate the future evaluation of evolving sparsification algorithms, graph metrics, and ever-growing graph data.","lang":"eng"}],"article_processing_charge":"No","scopus_import":"1","language":[{"iso":"eng"}],"volume":17,"external_id":{"arxiv":["2311.12314"]},"doi":"10.14778/3632093.3632106","publication":"Proceedings of the VLDB Endowment","publisher":"Association for Computing Machinery","page":"427-440","status":"public","date_created":"2024-10-08T12:48:57Z","day":"01","type":"journal_article","arxiv":1,"date_updated":"2024-10-09T11:28:33Z"},{"publication":"14th International Conference on Network of the Future","publisher":"IEEE","page":"71-79","date_created":"2024-10-08T12:50:18Z","status":"public","day":"01","type":"conference","date_updated":"2024-10-09T11:40:45Z","arxiv":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","abstract":[{"lang":"eng","text":"We study the problem of real-time scheduling in a multi-hop millimeter-wave (mmWave) mesh. We develop a model-free deep reinforcement learning algorithm called Adaptive Activator RL (AARL), which determines the subset of mmWave links that should be activated during each time slot and the power level for each link. The most important property of AARL is its ability to make scheduling decisions within the strict time frame constraints of typical 5G mmWave networks. AARL can handle a variety of network topologies, network loads, and interference models, it can also adapt to different workloads. We demonstrate the operation of AARL on several topologies: a small topology with 10 links, a moderately-sized mesh with 48 links, and a large topology with 96 links. We show that for each topology, we compare the throughput obtained by AARL to that of a benchmark algorithm called RPMA (Residual Profit Maximizer Algorithm). The most important advantage of AARL compared to RPMA is that it is much faster and can make the necessary scheduling decisions very rapidly during every time slot, while RPMA cannot. In addition, the quality of the scheduling decisions made by AARL outperforms those made by RPMA."}],"article_processing_charge":"No","scopus_import":"1","language":[{"iso":"eng"}],"external_id":{"arxiv":["2210.01423"]},"doi":"10.1109/nof58724.2023.10302794","oa":1,"conference":{"location":"Izmir, Turkiye","name":"NoF: Conference on Network of the Future","end_date":"2023-10-06","start_date":"2023-10-04"},"extern":"1","main_file_link":[{"open_access":"1","url":" https://doi.org/10.48550/arXiv.2210.01423"}],"quality_controlled":"1","publication_identifier":{"eissn":["2833-0072"],"isbn":["9798350338089"]},"_id":"18215","title":"Using deep reinforcement learning for mmWave real-time scheduling","publication_status":"published","oa_version":"Preprint","year":"2023","date_published":"2023-11-01T00:00:00Z","author":[{"first_name":"Barak","last_name":"Gahtan","full_name":"Gahtan, Barak"},{"last_name":"Cohen","first_name":"Reuven","full_name":"Cohen, Reuven"},{"full_name":"Bronstein, Alexander","last_name":"Bronstein","first_name":"Alexander","orcid":"0000-0001-9699-8730","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6"},{"full_name":"Kedar, Gil","last_name":"Kedar","first_name":"Gil"}],"citation":{"ama":"Gahtan B, Cohen R, Bronstein AM, Kedar G. Using deep reinforcement learning for mmWave real-time scheduling. In: <i>14th International Conference on Network of the Future</i>. IEEE; 2023:71-79. doi:<a href=\"https://doi.org/10.1109/nof58724.2023.10302794\">10.1109/nof58724.2023.10302794</a>","mla":"Gahtan, Barak, et al. “Using Deep Reinforcement Learning for MmWave Real-Time Scheduling.” <i>14th International Conference on Network of the Future</i>, IEEE, 2023, pp. 71–79, doi:<a href=\"https://doi.org/10.1109/nof58724.2023.10302794\">10.1109/nof58724.2023.10302794</a>.","apa":"Gahtan, B., Cohen, R., Bronstein, A. M., &#38; Kedar, G. (2023). Using deep reinforcement learning for mmWave real-time scheduling. In <i>14th International Conference on Network of the Future</i> (pp. 71–79). Izmir, Turkiye: IEEE. <a href=\"https://doi.org/10.1109/nof58724.2023.10302794\">https://doi.org/10.1109/nof58724.2023.10302794</a>","ieee":"B. Gahtan, R. Cohen, A. M. Bronstein, and G. Kedar, “Using deep reinforcement learning for mmWave real-time scheduling,” in <i>14th International Conference on Network of the Future</i>, Izmir, Turkiye, 2023, pp. 71–79.","ista":"Gahtan B, Cohen R, Bronstein AM, Kedar G. 2023. Using deep reinforcement learning for mmWave real-time scheduling. 14th International Conference on Network of the Future. NoF: Conference on Network of the Future, 71–79.","short":"B. Gahtan, R. Cohen, A.M. Bronstein, G. Kedar, in:, 14th International Conference on Network of the Future, IEEE, 2023, pp. 71–79.","chicago":"Gahtan, Barak, Reuven Cohen, Alex M. Bronstein, and Gil Kedar. “Using Deep Reinforcement Learning for MmWave Real-Time Scheduling.” In <i>14th International Conference on Network of the Future</i>, 71–79. IEEE, 2023. <a href=\"https://doi.org/10.1109/nof58724.2023.10302794\">https://doi.org/10.1109/nof58724.2023.10302794</a>."},"month":"11"},{"article_type":"original","date_published":"2023-10-25T00:00:00Z","year":"2023","oa_version":"Published Version","publication_status":"published","month":"10","citation":{"chicago":"Rosenberg, Aviv A., Nitsan Yehishalom, Ailie Marx, and Alex M. Bronstein. “An Amino-Domino Model Described by a Cross-Peptide-Bond Ramachandran Plot Defines Amino Acid Pairs as Local Structural Units.” <i>Proceedings of the National Academy of Sciences</i>. National Academy of Sciences, 2023. <a href=\"https://doi.org/10.1073/pnas.2301064120\">https://doi.org/10.1073/pnas.2301064120</a>.","short":"A.A. Rosenberg, N. Yehishalom, A. Marx, A.M. Bronstein, Proceedings of the National Academy of Sciences 120 (2023).","ista":"Rosenberg AA, Yehishalom N, Marx A, Bronstein AM. 2023. An amino-domino model described by a cross-peptide-bond Ramachandran plot defines amino acid pairs as local structural units. Proceedings of the National Academy of Sciences. 120(44), e2301064120.","ama":"Rosenberg AA, Yehishalom N, Marx A, Bronstein AM. An amino-domino model described by a cross-peptide-bond Ramachandran plot defines amino acid pairs as local structural units. <i>Proceedings of the National Academy of Sciences</i>. 2023;120(44). doi:<a href=\"https://doi.org/10.1073/pnas.2301064120\">10.1073/pnas.2301064120</a>","ieee":"A. A. Rosenberg, N. Yehishalom, A. Marx, and A. M. Bronstein, “An amino-domino model described by a cross-peptide-bond Ramachandran plot defines amino acid pairs as local structural units,” <i>Proceedings of the National Academy of Sciences</i>, vol. 120, no. 44. National Academy of Sciences, 2023.","apa":"Rosenberg, A. A., Yehishalom, N., Marx, A., &#38; Bronstein, A. M. (2023). An amino-domino model described by a cross-peptide-bond Ramachandran plot defines amino acid pairs as local structural units. <i>Proceedings of the National Academy of Sciences</i>. National Academy of Sciences. <a href=\"https://doi.org/10.1073/pnas.2301064120\">https://doi.org/10.1073/pnas.2301064120</a>","mla":"Rosenberg, Aviv A., et al. “An Amino-Domino Model Described by a Cross-Peptide-Bond Ramachandran Plot Defines Amino Acid Pairs as Local Structural Units.” <i>Proceedings of the National Academy of Sciences</i>, vol. 120, no. 44, e2301064120, National Academy of Sciences, 2023, doi:<a href=\"https://doi.org/10.1073/pnas.2301064120\">10.1073/pnas.2301064120</a>."},"issue":"44","author":[{"last_name":"Rosenberg","first_name":"Aviv A.","full_name":"Rosenberg, Aviv A."},{"full_name":"Yehishalom, Nitsan","first_name":"Nitsan","last_name":"Yehishalom"},{"full_name":"Marx, Ailie","last_name":"Marx","first_name":"Ailie"},{"id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","orcid":"0000-0001-9699-8730","full_name":"Bronstein, Alexander","first_name":"Alexander","last_name":"Bronstein"}],"extern":"1","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1073/pnas.2301064120"}],"oa":1,"title":"An amino-domino model described by a cross-peptide-bond Ramachandran plot defines amino acid pairs as local structural units","_id":"18216","publication_identifier":{"eissn":["1091-6490"],"issn":["0027-8424"]},"intvolume":"       120","quality_controlled":"1","language":[{"iso":"eng"}],"article_number":"e2301064120","scopus_import":"1","article_processing_charge":"Yes (in subscription journal)","abstract":[{"lang":"eng","text":"Protein structure, both at the global and local level, dictates function. Proteins fold from chains of amino acids, forming secondary structures, α-helices and β-strands, that, at least for globular proteins, subsequently fold into a three-dimensional structure. Here, we show that a Ramachandran-type plot focusing on the two dihedral angles separated by the peptide bond, and entirely contained within an amino acid pair, defines a local structural unit. We further demonstrate the usefulness of this cross-peptide-bond Ramachandran plot by showing that it captures β-turn conformations in coil regions, that traditional Ramachandran plot outliers fall into occupied regions of our plot, and that thermophilic proteins prefer specific amino acid pair conformations. Further, we demonstrate experimentally that the effect of a point mutation on backbone conformation and protein stability depends on the amino acid pair context, i.e., the identity of the adjacent amino acid, in a manner predictable by our method."}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","doi":"10.1073/pnas.2301064120","external_id":{"pmid":["37878722"]},"volume":120,"pmid":1,"publisher":"National Academy of Sciences","publication":"Proceedings of the National Academy of Sciences","date_updated":"2024-10-09T11:55:12Z","type":"journal_article","day":"25","status":"public","date_created":"2024-10-08T12:50:36Z"},{"volume":27,"external_id":{"arxiv":["2202.05204"]},"doi":"10.1109/icra48891.2023.10160601","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","abstract":[{"lang":"eng","text":"A central challenge in building robotic prostheses is the creation of a sensor-based system able to read physiological signals from the lower limb and instruct a robotic hand to perform various tasks. Existing systems typically perform discrete gestures such as pointing or grasping, by employing electromyography (EMG) or ultrasound (US) technologies to analyze muscle states. While estimating finger gestures has been done in the past by detecting prominent gestures, we are interested in detection, or inference, done in the context of fine motions that evolve over time. Examples include motions occurring when performing fine and dexterous tasks such as keyboard typing or piano playing. We consider this task as an important step towards higher adoption rates of robotic prostheses among arm amputees, as it has the potential to dramatically increase functionality in performing daily tasks. To this end, we present an end-to-end robotic system, which can successfully infer fine finger motions. This is achieved by modeling the hand as a robotic manipulator and using it as an intermediate representation to encode muscles' dynamics from a sequence of US images. We evaluated our method by collecting data from a group of subjects and demonstrating how it can be used to replay music played or text typed. To the best of our knowledge, this is the first study demonstrating these downstream tasks within an end-to-end system."}],"article_processing_charge":"No","scopus_import":"1","language":[{"iso":"eng"}],"date_created":"2024-10-08T12:50:55Z","status":"public","day":"04","type":"conference","arxiv":1,"date_updated":"2024-10-09T12:00:32Z","publication":"2023 IEEE International Conference on Robotics and Automation","publisher":"IEEE","author":[{"full_name":"Zadok, Dean","last_name":"Zadok","first_name":"Dean"},{"full_name":"Salzman, Oren","last_name":"Salzman","first_name":"Oren"},{"full_name":"Wolf, Alon","last_name":"Wolf","first_name":"Alon"},{"id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","orcid":"0000-0001-9699-8730","first_name":"Alexander","last_name":"Bronstein","full_name":"Bronstein, Alexander"}],"citation":{"ama":"Zadok D, Salzman O, Wolf A, Bronstein AM. Towards predicting fine finger motions from ultrasound images via kinematic representation. In: <i>2023 IEEE International Conference on Robotics and Automation</i>. Vol 27. IEEE; 2023. doi:<a href=\"https://doi.org/10.1109/icra48891.2023.10160601\">10.1109/icra48891.2023.10160601</a>","mla":"Zadok, Dean, et al. “Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation.” <i>2023 IEEE International Conference on Robotics and Automation</i>, vol. 27, IEEE, 2023, doi:<a href=\"https://doi.org/10.1109/icra48891.2023.10160601\">10.1109/icra48891.2023.10160601</a>.","ieee":"D. Zadok, O. Salzman, A. Wolf, and A. M. Bronstein, “Towards predicting fine finger motions from ultrasound images via kinematic representation,” in <i>2023 IEEE International Conference on Robotics and Automation</i>, London, United Kingdom, 2023, vol. 27.","apa":"Zadok, D., Salzman, O., Wolf, A., &#38; Bronstein, A. M. (2023). Towards predicting fine finger motions from ultrasound images via kinematic representation. In <i>2023 IEEE International Conference on Robotics and Automation</i> (Vol. 27). London, United Kingdom: IEEE. <a href=\"https://doi.org/10.1109/icra48891.2023.10160601\">https://doi.org/10.1109/icra48891.2023.10160601</a>","ista":"Zadok D, Salzman O, Wolf A, Bronstein AM. 2023. Towards predicting fine finger motions from ultrasound images via kinematic representation. 2023 IEEE International Conference on Robotics and Automation. ICRA: Conference on Robotics and Automation vol. 27.","chicago":"Zadok, Dean, Oren Salzman, Alon Wolf, and Alex M. Bronstein. “Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation.” In <i>2023 IEEE International Conference on Robotics and Automation</i>, Vol. 27. IEEE, 2023. <a href=\"https://doi.org/10.1109/icra48891.2023.10160601\">https://doi.org/10.1109/icra48891.2023.10160601</a>.","short":"D. Zadok, O. Salzman, A. Wolf, A.M. Bronstein, in:, 2023 IEEE International Conference on Robotics and Automation, IEEE, 2023."},"month":"07","publication_status":"published","oa_version":"Preprint","year":"2023","date_published":"2023-07-04T00:00:00Z","quality_controlled":"1","intvolume":"        27","publication_identifier":{"eisbn":["9798350323658"]},"_id":"18217","title":"Towards predicting fine finger motions from ultrasound images via kinematic representation","oa":1,"conference":{"location":"London, United Kingdom","name":"ICRA: Conference on Robotics and Automation","end_date":"2023-06-02","start_date":"2023-05-29"},"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2202.05204","open_access":"1"}],"extern":"1"},{"volume":13847,"external_id":{"arxiv":["2207.05729"]},"doi":"10.1007/978-3-031-26293-7_31","abstract":[{"lang":"eng","text":"Deep neural networks are known to be susceptible to adversarial perturbations – small perturbations that alter the output of the network and exist under strict norm limitations. While such perturbations are usually discussed as tailored to a specific input, a universal perturbation can be constructed to alter the model’s output on a set of inputs. Universal perturbations present a more realistic case of adversarial attacks, as awareness of the model’s exact input is not required. In addition, the universal attack setting raises the subject of generalization to unseen data, where given a set of inputs, the universal perturbations aim to alter the model’s output on out-of-sample data. In this work, we study physical passive patch adversarial attacks on visual odometry-based autonomous navigation systems. A visual odometry system aims to infer the relative camera motion between two corresponding viewpoints, and is frequently used by vision-based autonomous navigation systems to estimate their state. For such navigation systems, a patch adversarial perturbation poses a severe security issue, as it can be used to mislead a system onto some collision course. To the best of our knowledge, we show for the first time that the error margin of a visual odometry model can be significantly increased by deploying patch adversarial attacks in the scene. We provide evaluation on synthetic closed-loop drone navigation data and demonstrate that a comparable vulnerability exists in real data. A reference implementation of the proposed method and the reported experiments is provided at https://github.com/patchadversarialattacks/patchadversarialattacks."}],"article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","language":[{"iso":"eng"}],"scopus_import":"1","date_created":"2024-10-08T12:51:14Z","status":"public","date_updated":"2024-10-09T12:13:36Z","arxiv":1,"day":"11","type":"conference","publication":"16th Asian Conference on Computer Vision","publisher":"Springer Nature","page":"518-534","author":[{"full_name":"Nemcovsky, Yaniv","first_name":"Yaniv","last_name":"Nemcovsky"},{"full_name":"Jacoby, Matan","first_name":"Matan","last_name":"Jacoby"},{"full_name":"Bronstein, Alexander","first_name":"Alexander","last_name":"Bronstein","orcid":"0000-0001-9699-8730","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6"},{"full_name":"Baskin, Chaim","last_name":"Baskin","first_name":"Chaim"}],"citation":{"ista":"Nemcovsky Y, Jacoby M, Bronstein AM, Baskin C. 2023. Physical passive patch adversarial attacks on visual odometry systems. 16th Asian Conference on Computer Vision. ACCV: Asian Conference on Computer Vision, LNCS, vol. 13847, 518–534.","chicago":"Nemcovsky, Yaniv, Matan Jacoby, Alex M. Bronstein, and Chaim Baskin. “Physical Passive Patch Adversarial Attacks on Visual Odometry Systems.” In <i>16th Asian Conference on Computer Vision</i>, 13847:518–34. Springer Nature, 2023. <a href=\"https://doi.org/10.1007/978-3-031-26293-7_31\">https://doi.org/10.1007/978-3-031-26293-7_31</a>.","short":"Y. Nemcovsky, M. Jacoby, A.M. Bronstein, C. Baskin, in:, 16th Asian Conference on Computer Vision, Springer Nature, 2023, pp. 518–534.","ama":"Nemcovsky Y, Jacoby M, Bronstein AM, Baskin C. Physical passive patch adversarial attacks on visual odometry systems. In: <i>16th Asian Conference on Computer Vision</i>. Vol 13847. Springer Nature; 2023:518-534. doi:<a href=\"https://doi.org/10.1007/978-3-031-26293-7_31\">10.1007/978-3-031-26293-7_31</a>","mla":"Nemcovsky, Yaniv, et al. “Physical Passive Patch Adversarial Attacks on Visual Odometry Systems.” <i>16th Asian Conference on Computer Vision</i>, vol. 13847, Springer Nature, 2023, pp. 518–34, doi:<a href=\"https://doi.org/10.1007/978-3-031-26293-7_31\">10.1007/978-3-031-26293-7_31</a>.","ieee":"Y. Nemcovsky, M. Jacoby, A. M. Bronstein, and C. Baskin, “Physical passive patch adversarial attacks on visual odometry systems,” in <i>16th Asian Conference on Computer Vision</i>, Macao, China, 2023, vol. 13847, pp. 518–534.","apa":"Nemcovsky, Y., Jacoby, M., Bronstein, A. M., &#38; Baskin, C. (2023). Physical passive patch adversarial attacks on visual odometry systems. In <i>16th Asian Conference on Computer Vision</i> (Vol. 13847, pp. 518–534). Macao, China: Springer Nature. <a href=\"https://doi.org/10.1007/978-3-031-26293-7_31\">https://doi.org/10.1007/978-3-031-26293-7_31</a>"},"month":"03","related_material":{"link":[{"relation":"software","url":"https://github.com/patchadversarialattacks/patchadversarialattacks"}]},"date_published":"2023-03-11T00:00:00Z","publication_status":"published","oa_version":"Preprint","year":"2023","intvolume":"     13847","quality_controlled":"1","alternative_title":["LNCS"],"_id":"18218","title":"Physical passive patch adversarial attacks on visual odometry systems","publication_identifier":{"isbn":["9783031262920"],"eisbn":["9783031262937"],"issn":["0302-9743"],"eissn":["1611-3349"]},"oa":1,"extern":"1","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2207.05729"}],"conference":{"location":"Macao, China","end_date":"2022-12-08","start_date":"2022-12-04","name":"ACCV: Asian Conference on Computer Vision"}},{"page":"12-20","publisher":"Institute of Electrical and Electronics Engineers","publication":"IEEE Open Journal of Signal Processing","type":"journal_article","day":"25","date_updated":"2024-10-09T12:24:13Z","arxiv":1,"status":"public","date_created":"2024-10-08T12:51:32Z","scopus_import":"1","language":[{"iso":"eng"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_processing_charge":"No","abstract":[{"lang":"eng","text":"Nowadays, many of the images captured are ‘observed’ by machines only and not by humans, e.g., in autonomous systems. High-level machine vision models, such as object recognition or semantic segmentation, assume images are transformed into some canonical image space by the camera Image Signal Processor (ISP). However, the camera ISP is optimized for producing visually pleasing images for human observers and not for machines. Therefore, one may spare the ISP compute time and apply vision models directly to RAW images. Yet, it has been shown that training such models directly on RAW images results in a performance drop. To mitigate this drop, we use a RAW and RGB image pairs dataset, which can be easily acquired with no human labeling. We then train a model that is applied directly to the RAW data by using knowledge distillation such that the model predictions for RAW images will be aligned with the predictions of an off-the-shelf pre-trained model for processed RGB images. Our experiments show that our performance on RAW images for object classification and semantic segmentation is significantly better than models trained on labeled RAW images. It also reasonably matches the predictions of a pre-trained model on processed RGB images, while saving the ISP compute overhead."}],"doi":"10.1109/ojsp.2023.3239819","external_id":{"arxiv":["2101.10203"]},"volume":4,"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1109/OJSP.2023.3239819"}],"extern":"1","oa":1,"publication_identifier":{"issn":["2644-1322"]},"title":"ISP Distillation","_id":"18219","quality_controlled":"1","intvolume":"         4","article_type":"original","year":"2023","publication_status":"published","oa_version":"Published Version","date_published":"2023-01-25T00:00:00Z","month":"01","citation":{"mla":"Schwartz, Eli, et al. “ISP Distillation.” <i>IEEE Open Journal of Signal Processing</i>, vol. 4, Institute of Electrical and Electronics Engineers, 2023, pp. 12–20, doi:<a href=\"https://doi.org/10.1109/ojsp.2023.3239819\">10.1109/ojsp.2023.3239819</a>.","ieee":"E. Schwartz, A. M. Bronstein, and R. Giryes, “ISP Distillation,” <i>IEEE Open Journal of Signal Processing</i>, vol. 4. Institute of Electrical and Electronics Engineers, pp. 12–20, 2023.","apa":"Schwartz, E., Bronstein, A. M., &#38; Giryes, R. (2023). ISP Distillation. <i>IEEE Open Journal of Signal Processing</i>. Institute of Electrical and Electronics Engineers. <a href=\"https://doi.org/10.1109/ojsp.2023.3239819\">https://doi.org/10.1109/ojsp.2023.3239819</a>","ama":"Schwartz E, Bronstein AM, Giryes R. ISP Distillation. <i>IEEE Open Journal of Signal Processing</i>. 2023;4:12-20. doi:<a href=\"https://doi.org/10.1109/ojsp.2023.3239819\">10.1109/ojsp.2023.3239819</a>","ista":"Schwartz E, Bronstein AM, Giryes R. 2023. ISP Distillation. IEEE Open Journal of Signal Processing. 4, 12–20.","short":"E. Schwartz, A.M. Bronstein, R. Giryes, IEEE Open Journal of Signal Processing 4 (2023) 12–20.","chicago":"Schwartz, Eli, Alex M. Bronstein, and Raja Giryes. “ISP Distillation.” <i>IEEE Open Journal of Signal Processing</i>. Institute of Electrical and Electronics Engineers, 2023. <a href=\"https://doi.org/10.1109/ojsp.2023.3239819\">https://doi.org/10.1109/ojsp.2023.3239819</a>."},"author":[{"full_name":"Schwartz, Eli","first_name":"Eli","last_name":"Schwartz"},{"last_name":"Bronstein","first_name":"Alexander","full_name":"Bronstein, Alexander","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","orcid":"0000-0001-9699-8730"},{"full_name":"Giryes, Raja","last_name":"Giryes","first_name":"Raja"}]},{"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2306.02718","open_access":"1"}],"department":[{"_id":"TiBr"}],"oa":1,"publication":"arXiv","tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"_id":"18294","date_updated":"2025-04-15T08:05:39Z","arxiv":1,"title":"Complete intersections of cubic and quadric hypersurfaces over Fq(t)","day":"05","type":"preprint","status":"public","date_created":"2024-10-10T13:08:05Z","article_number":"2306.02718","language":[{"iso":"eng"}],"corr_author":"1","date_published":"2023-06-05T00:00:00Z","abstract":[{"text":"Using a two-dimensional version of the delta method, we establish an asymptotic formula for the number of rational points of bounded height on non-singular complete intersections of cubic and quadric hypersurfaces of dimension at least 23 over Fq(t), provided cha(Fq)>3. Under the same hypotheses, we also verify weak approximation.","lang":"eng"}],"OA_place":"repository","article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication_status":"draft","oa_version":"Preprint","year":"2023","citation":{"short":"J. Glas, ArXiv (n.d.).","chicago":"Glas, Jakob. “Complete Intersections of Cubic and Quadric Hypersurfaces over Fq(T).” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2306.02718\">https://doi.org/10.48550/arXiv.2306.02718</a>.","ista":"Glas J. Complete intersections of cubic and quadric hypersurfaces over Fq(t). arXiv, 2306.02718.","ama":"Glas J. Complete intersections of cubic and quadric hypersurfaces over Fq(t). <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2306.02718\">10.48550/arXiv.2306.02718</a>","apa":"Glas, J. (n.d.). Complete intersections of cubic and quadric hypersurfaces over Fq(t). <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2306.02718\">https://doi.org/10.48550/arXiv.2306.02718</a>","ieee":"J. Glas, “Complete intersections of cubic and quadric hypersurfaces over Fq(t),” <i>arXiv</i>. .","mla":"Glas, Jakob. “Complete Intersections of Cubic and Quadric Hypersurfaces over Fq(T).” <i>ArXiv</i>, 2306.02718, doi:<a href=\"https://doi.org/10.48550/arXiv.2306.02718\">10.48550/arXiv.2306.02718</a>."},"month":"06","external_id":{"arxiv":["2306.02718"]},"doi":"10.48550/arXiv.2306.02718","related_material":{"record":[{"relation":"dissertation_contains","status":"public","id":"18132"}]},"author":[{"full_name":"Glas, Jakob","first_name":"Jakob","last_name":"Glas","id":"d6423cba-dc74-11ea-a0a7-ee61689ff5fb"}]},{"pmid":1,"acknowledgement":"We thank members of the Bülow laboratory for comments on the manuscript and discussions throughout the course of this work; and Ryan Peer and William Corman for their initial help with the modifier genetic screen. We acknowledge the Genomics Core facility and the Advanced Imaging Facility at Albert Einstein College of Medicine for help during these studies. We are grateful to Kang Shen, David Miller and the Caenorhabditis Genetics Center (which is funded by National Institutes of Health Office of Research Infrastructure Programs P40OD0104400) for some of the strains used in this study, and Lhisia Chen for the anti-SAX-7 antibody.\r\nThis work was supported by grants from the National Institutes of Health (F31NS100370 to M.R.; T32GM007288 and F31NS111939 to M.T.; R01NS096672, R21NS081505 and R01NS129992 to H.E.B.; and P30HD071593 to Albert Einstein College of Medicine). N.J.R.-S. was the recipient of a Colciencias-Fulbright Fellowship [funded by Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS) and Fulbright Colombia], L.T.H.T. of a Croucher Foundation Fellowship, and H.E.B. of an Irma T. Hirschl Trust/Monique Weill-Caulier Trust research fellowship. Open Access funding provided by Albert Einstein College of Medicine, Yeshiva University. Deposited in PMC for immediate release.","file_date_updated":"2024-12-04T22:12:04Z","publication":"Development","publisher":"The Company of Biologists","tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"day":"18","type":"journal_article","date_updated":"2024-12-09T11:43:40Z","status":"public","date_created":"2024-12-04T22:02:52Z","scopus_import":"1","language":[{"iso":"eng"}],"OA_type":"hybrid","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","abstract":[{"lang":"eng","text":"During neural development, cellular adhesion is crucial for interactions among and between neurons and surrounding tissues. This function is mediated by conserved cell adhesion molecules, which are tightly regulated to allow for coordinated neuronal outgrowth. Here, we show that the proprotein convertase KPC-1 (homolog of mammalian furin) regulates the Menorin adhesion complex during development of PVD dendritic arbors in Caenorhabditis elegans. We found a finely regulated antagonistic balance between PVD-expressed KPC-1 and the epidermally expressed putative cell adhesion molecule MNR-1 (Menorin). Genetically, partial loss of mnr-1 suppressed partial loss of kpc-1, and both loss of kpc-1 and transgenic overexpression of mnr-1 resulted in indistinguishable phenotypes in PVD dendrites. This balance regulated cell-surface localization of the DMA-1 leucine-rich transmembrane receptor in PVD neurons. Lastly, kpc-1 mutants showed increased amounts of MNR-1 and decreased amounts of muscle-derived LECT-2 (Chondromodulin II), which is also part of the Menorin adhesion complex. These observations suggest that KPC-1 in PVD neurons directly or indirectly controls the abundance of proteins of the Menorin adhesion complex from adjacent tissues, thereby providing negative feedback from the dendrite to the instructive cues of surrounding tissues."}],"article_processing_charge":"No","external_id":{"pmid":["37721334"]},"doi":"10.1242/dev.201208","volume":150,"extern":"1","ddc":["570"],"has_accepted_license":"1","oa":1,"file":[{"content_type":"application/pdf","relation":"main_file","checksum":"d2158dc56db50457e6404c4afec4401c","file_name":"dev201208.pdf","creator":"nramirez","file_size":9559527,"date_created":"2024-12-04T22:12:04Z","success":1,"file_id":"18624","access_level":"open_access","date_updated":"2024-12-04T22:12:04Z"}],"publication_identifier":{"eissn":["1477-9129"],"issn":["0950-1991"]},"_id":"18621","title":"Convertase-dependent regulation of membrane-tethered and secreted ligands tunes dendrite adhesion","quality_controlled":"1","intvolume":"       150","article_type":"original","oa_version":"Published Version","publication_status":"published","year":"2023","OA_place":"publisher","date_published":"2023-09-18T00:00:00Z","citation":{"mla":"Ramirez, Nelson, et al. “Convertase-Dependent Regulation of Membrane-Tethered and Secreted Ligands Tunes Dendrite Adhesion.” <i>Development</i>, vol. 150, no. 18, The Company of Biologists, 2023, doi:<a href=\"https://doi.org/10.1242/dev.201208\">10.1242/dev.201208</a>.","apa":"Ramirez, N., Belalcazar, H. M., Rahman, M., Trivedi, M., Tang, L. T. H., &#38; Bülow, H. E. (2023). Convertase-dependent regulation of membrane-tethered and secreted ligands tunes dendrite adhesion. <i>Development</i>. The Company of Biologists. <a href=\"https://doi.org/10.1242/dev.201208\">https://doi.org/10.1242/dev.201208</a>","ieee":"N. Ramirez, H. M. Belalcazar, M. Rahman, M. Trivedi, L. T. H. Tang, and H. E. Bülow, “Convertase-dependent regulation of membrane-tethered and secreted ligands tunes dendrite adhesion,” <i>Development</i>, vol. 150, no. 18. The Company of Biologists, 2023.","ama":"Ramirez N, Belalcazar HM, Rahman M, Trivedi M, Tang LTH, Bülow HE. Convertase-dependent regulation of membrane-tethered and secreted ligands tunes dendrite adhesion. <i>Development</i>. 2023;150(18). doi:<a href=\"https://doi.org/10.1242/dev.201208\">10.1242/dev.201208</a>","ista":"Ramirez N, Belalcazar HM, Rahman M, Trivedi M, Tang LTH, Bülow HE. 2023. Convertase-dependent regulation of membrane-tethered and secreted ligands tunes dendrite adhesion. Development. 150(18).","short":"N. Ramirez, H.M. Belalcazar, M. Rahman, M. Trivedi, L.T.H. Tang, H.E. Bülow, Development 150 (2023).","chicago":"Ramirez, Nelson, Helen M. Belalcazar, Maisha Rahman, Meera Trivedi, Leo T. H. Tang, and Hannes E. Bülow. “Convertase-Dependent Regulation of Membrane-Tethered and Secreted Ligands Tunes Dendrite Adhesion.” <i>Development</i>. The Company of Biologists, 2023. <a href=\"https://doi.org/10.1242/dev.201208\">https://doi.org/10.1242/dev.201208</a>."},"issue":"18","month":"09","author":[{"last_name":"Ramirez","first_name":"Nelson","full_name":"Ramirez, Nelson","id":"39831956-E4FE-11E9-85DE-0DC7E5697425"},{"full_name":"Belalcazar, Helen M.","first_name":"Helen M.","last_name":"Belalcazar"},{"first_name":"Maisha","last_name":"Rahman","full_name":"Rahman, Maisha"},{"first_name":"Meera","last_name":"Trivedi","full_name":"Trivedi, Meera"},{"last_name":"Tang","first_name":"Leo T. H.","full_name":"Tang, Leo T. H."},{"full_name":"Bülow, Hannes E.","last_name":"Bülow","first_name":"Hannes E."}]},{"citation":{"ista":"Muñoz Hermosilla JM. 2023. A 3D glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen, Zenodo, <a href=\"https://doi.org/10.5281/ZENODO.8005257\">10.5281/ZENODO.8005257</a>.","chicago":"Muñoz Hermosilla, José M. “A 3D Glacier Dynamics-Line Plume Model to Estimate the Frontal Ablation of Hansbreen.” Zenodo, 2023. <a href=\"https://doi.org/10.5281/ZENODO.8005257\">https://doi.org/10.5281/ZENODO.8005257</a>.","short":"J.M. Muñoz Hermosilla, (2023).","ama":"Muñoz Hermosilla JM. A 3D glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen. 2023. doi:<a href=\"https://doi.org/10.5281/ZENODO.8005257\">10.5281/ZENODO.8005257</a>","mla":"Muñoz Hermosilla, José M. <i>A 3D Glacier Dynamics-Line Plume Model to Estimate the Frontal Ablation of Hansbreen</i>. Zenodo, 2023, doi:<a href=\"https://doi.org/10.5281/ZENODO.8005257\">10.5281/ZENODO.8005257</a>.","ieee":"J. M. Muñoz Hermosilla, “A 3D glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen.” Zenodo, 2023.","apa":"Muñoz Hermosilla, J. M. (2023). A 3D glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen. Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.8005257\">https://doi.org/10.5281/ZENODO.8005257</a>"},"month":"06","doi":"10.5281/ZENODO.8005257","related_material":{"record":[{"id":"18628","status":"public","relation":"research_data"}]},"author":[{"full_name":"Muñoz Hermosilla, José M","first_name":"José M","last_name":"Muñoz Hermosilla","id":"e1037a6d-646e-11ef-b402-e0ed9ab0901e"}],"corr_author":"1","OA_place":"repository","abstract":[{"text":"There are 4 tar.xz files with the result of the model for the paper: A 3D glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen, Svalbard. ","lang":"eng"}],"date_published":"2023-06-05T00:00:00Z","article_processing_charge":"No","oa_version":"Published Version","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2023","_id":"18634","date_updated":"2024-12-09T09:43:47Z","title":"A 3D glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen","day":"05","type":"research_data_reference","date_created":"2024-12-09T09:33:07Z","status":"public","main_file_link":[{"url":"https://doi.org/10.5281/zenodo.8005258","open_access":"1"}],"department":[{"_id":"FrPe"}],"oa":1,"publisher":"Zenodo","ddc":["550"]}]