[{"title":"A SPectroscopic survey of biased halos in the reionization era (ASPIRE): JWST reveals a filamentary structure around a z = 6.61 Quasar","volume":951,"publication":"The Astrophysical Journal Letters","extern":"1","oa":1,"oa_version":"Published Version","year":"2023","month":"06","publication_status":"published","_id":"17606","issue":"1","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","main_file_link":[{"open_access":"1","url":"https://doi.org/10.3847/2041-8213/accd6f"}],"abstract":[{"text":"We present the first results from the JWST ASPIRE program (A SPectroscopic survey of biased halos In the Reionization Era). This program represents an imaging and spectroscopic survey of 25 reionization-era quasars and their environments by utilizing the unprecedented capabilities of NIRCam Wide Field Slitless Spectroscopy (WFSS) mode. ASPIRE will deliver the largest (∼280 arcmin^2) galaxy redshift survey at 3-4 μm among JWST Cycle-1 programs and provide extensive legacy values for studying the formation of the earliest supermassive black holes (SMBHs), the assembly of galaxies, early metal enrichment, and cosmic reionization. In this first ASPIRE paper, we report the discovery of a filamentary structure traced by the luminous quasar J0305-3150 and ten [OIII] emitters at z=6.6. This structure has a 3D galaxy overdensity of δgal=12.6 over 637 cMpc3, one of the most overdense structures known in the early universe, and could eventually evolve into a massive galaxy cluster. Together with existing VLT/MUSE and ALMA observations of this field, our JWST observations reveal that J0305-3150 traces a complex environment where both UV-bright and dusty galaxies are present, and indicate that the early evolution of galaxies around the quasar is not simultaneous. In addition, we discovered 31 [OIII] emitters in this field at other redshifts, 5.3The Astrophysical Journal Letters, vol. 951, no. 1, L4, American Astronomical Society, 2023, doi:10.3847/2041-8213/accd6f.","apa":"Wang, F., Yang, J., Hennawi, J. F., Fan, X., Sun, F., Champagne, J. B., … Zou, S. (2023). A SPectroscopic survey of biased halos in the reionization era (ASPIRE): JWST reveals a filamentary structure around a z = 6.61 Quasar. The Astrophysical Journal Letters. American Astronomical Society. https://doi.org/10.3847/2041-8213/accd6f","chicago":"Wang, Feige, Jinyi Yang, Joseph F. Hennawi, Xiaohui Fan, Fengwu Sun, Jaclyn B. Champagne, Tiago Costa, et al. “A SPectroscopic Survey of Biased Halos in the Reionization Era (ASPIRE): JWST Reveals a Filamentary Structure around a z = 6.61 Quasar.” The Astrophysical Journal Letters. American Astronomical Society, 2023. https://doi.org/10.3847/2041-8213/accd6f.","ista":"Wang F, Yang J, Hennawi JF, Fan X, Sun F, Champagne JB, Costa T, Habouzit M, Endsley R, Li Z, Lin X, Meyer RA, Schindler J, Wu Y, Bañados E, Barth AJ, Bhowmick AK, Bieri R, Blecha L, Bosman S, Cai Z, Colina L, Connor T, Davies FB, Decarli R, De Rosa G, Drake AB, Egami E, Eilers A-C, Evans AE, Farina EP, Haiman Z, Jiang L, Jin X, Jun HD, Kakiichi K, Khusanova Y, Kulkarni G, Li M, Liu W, Loiacono F, Lupi A, Mazzucchelli C, Onoue M, Pudoka MA, Rojas-Ruiz S, Shen Y, Strauss MA, Tee WL, Trakhtenbrot B, Trebitsch M, Venemans B, Volonteri M, Walter F, Xie Z-L, Yue M, Zhang H, Zhang H, Zou S. 2023. A SPectroscopic survey of biased halos in the reionization era (ASPIRE): JWST reveals a filamentary structure around a z = 6.61 Quasar. The Astrophysical Journal Letters. 951(1), L4.","ama":"Wang F, Yang J, Hennawi JF, et al. A SPectroscopic survey of biased halos in the reionization era (ASPIRE): JWST reveals a filamentary structure around a z = 6.61 Quasar. The Astrophysical Journal Letters. 2023;951(1). doi:10.3847/2041-8213/accd6f","ieee":"F. Wang et al., “A SPectroscopic survey of biased halos in the reionization era (ASPIRE): JWST reveals a filamentary structure around a z = 6.61 Quasar,” The Astrophysical Journal Letters, vol. 951, no. 1. American Astronomical Society, 2023."},"date_updated":"2024-09-23T14:08:58Z"},{"type":"journal_article","language":[{"iso":"eng"}],"intvolume":" 522","citation":{"chicago":"Komossa, S, D Grupe, A Kraus, M A Gurwell, Zoltán Haiman, F K Liu, A Tchekhovskoy, et al. “Absence of the Predicted 2022 October Outburst of OJ 287 and Implications for Binary SMBH Scenarios.” Monthly Notices of the Royal Astronomical Society: Letters. Oxford University Press, 2023. https://doi.org/10.1093/mnrasl/slad016.","apa":"Komossa, S., Grupe, D., Kraus, A., Gurwell, M. A., Haiman, Z., Liu, F. K., … Gonzalez, A. G. (2023). Absence of the predicted 2022 October outburst of OJ 287 and implications for binary SMBH scenarios. Monthly Notices of the Royal Astronomical Society: Letters. Oxford University Press. https://doi.org/10.1093/mnrasl/slad016","mla":"Komossa, S., et al. “Absence of the Predicted 2022 October Outburst of OJ 287 and Implications for Binary SMBH Scenarios.” Monthly Notices of the Royal Astronomical Society: Letters, vol. 522, no. 1, Oxford University Press, 2023, pp. L84–88, doi:10.1093/mnrasl/slad016.","short":"S. Komossa, D. Grupe, A. Kraus, M.A. Gurwell, Z. Haiman, F.K. Liu, A. Tchekhovskoy, L.C. Gallo, M. Berton, R. Blandford, J.L. Gómez, A.G. Gonzalez, Monthly Notices of the Royal Astronomical Society: Letters 522 (2023) L84–L88.","ieee":"S. Komossa et al., “Absence of the predicted 2022 October outburst of OJ 287 and implications for binary SMBH scenarios,” Monthly Notices of the Royal Astronomical Society: Letters, vol. 522, no. 1. Oxford University Press, pp. L84–L88, 2023.","ama":"Komossa S, Grupe D, Kraus A, et al. Absence of the predicted 2022 October outburst of OJ 287 and implications for binary SMBH scenarios. Monthly Notices of the Royal Astronomical Society: Letters. 2023;522(1):L84-L88. doi:10.1093/mnrasl/slad016","ista":"Komossa S, Grupe D, Kraus A, Gurwell MA, Haiman Z, Liu FK, Tchekhovskoy A, Gallo LC, Berton M, Blandford R, Gómez JL, Gonzalez AG. 2023. Absence of the predicted 2022 October outburst of OJ 287 and implications for binary SMBH scenarios. Monthly Notices of the Royal Astronomical Society: Letters. 522(1), L84–L88."},"date_updated":"2024-09-24T07:22:28Z","quality_controlled":"1","date_published":"2023-02-23T00:00:00Z","day":"23","status":"public","publication_identifier":{"issn":["1745-3925","1745-3933"]},"article_processing_charge":"No","date_created":"2024-09-05T13:23:29Z","publisher":"Oxford University Press","article_type":"original","author":[{"first_name":"S","last_name":"Komossa","full_name":"Komossa, S"},{"full_name":"Grupe, D","last_name":"Grupe","first_name":"D"},{"full_name":"Kraus, A","last_name":"Kraus","first_name":"A"},{"full_name":"Gurwell, M A","first_name":"M A","last_name":"Gurwell"},{"full_name":"Haiman, Zoltán","last_name":"Haiman","id":"7c006e8c-cc0d-11ee-8322-cb904ef76f36","first_name":"Zoltán"},{"full_name":"Liu, F K","last_name":"Liu","first_name":"F K"},{"full_name":"Tchekhovskoy, A","first_name":"A","last_name":"Tchekhovskoy"},{"first_name":"L C","last_name":"Gallo","full_name":"Gallo, L C"},{"last_name":"Berton","first_name":"M","full_name":"Berton, M"},{"full_name":"Blandford, R","last_name":"Blandford","first_name":"R"},{"last_name":"Gómez","first_name":"J L","full_name":"Gómez, J L"},{"first_name":"A G","last_name":"Gonzalez","full_name":"Gonzalez, A G"}],"month":"02","doi":"10.1093/mnrasl/slad016","scopus_import":"1","main_file_link":[{"url":"https://doi.org/10.1093/mnrasl/slad016","open_access":"1"}],"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","abstract":[{"text":"The project MOMO (Multiwavelength Observations and Modelling of OJ 287) was set up to test predictions of binary supermassive black hole (SMBH) scenarios and to understand disc–jet physics of the blazar OJ 287. After a correction, the precessing binary (PB) SMBH model predicted the next main outburst of OJ 287 in 2022 October, making the outburst well observable and the model testable. We have densely covered this period in our ongoing multifrequency radio, optical, ultraviolet (UV), and X-ray monitoring. The predicted outburst was not detected. Instead, OJ 287 was at low optical–UV emission levels, declining further into November. The predicted thermal bremsstrahlung spectrum was not observed either, at any epoch. Further, applying scaling relations, we estimate an SMBH mass of OJ 287 of 108 M⊙. The latest in a sequence of deep low states that recur every 1–2 yr is used to determine an upper limit on the Eddington ratio and on the accretion-disc luminosity. This limit is at least a factor of 10 lower than required by the PB model with its massive primary SMBH of &gt;1010 M⊙. All these results favour alternative binary SMBH models of OJ 287 that require neither strong orbital precession nor a very large mass of the primary SMBH.","lang":"eng"}],"publication_status":"published","page":"L84-L88","issue":"1","_id":"17611","extern":"1","publication":"Monthly Notices of the Royal Astronomical Society: Letters","volume":522,"title":"Absence of the predicted 2022 October outburst of OJ 287 and implications for binary SMBH scenarios","year":"2023","oa":1,"oa_version":"Published Version"},{"date_created":"2024-09-06T12:56:54Z","article_number":"100115","status":"public","publication_identifier":{"eissn":["2667-1417"]},"article_processing_charge":"No","article_type":"original","publisher":"Elsevier BV","author":[{"full_name":"Zou, Qi","last_name":"Zou","first_name":"Qi"},{"full_name":"Qiu, Jin","last_name":"Qiu","first_name":"Jin"},{"last_name":"Zang","first_name":"Yaping","full_name":"Zang, Yaping"},{"full_name":"Tian, He","last_name":"Tian","first_name":"He"},{"orcid":"0000-0002-6957-6089","full_name":"Venkataraman, Latha","last_name":"Venkataraman","id":"9ebb78a5-cc0d-11ee-8322-fae086a32caf","first_name":"Latha"}],"intvolume":" 3","OA_type":"gold","type":"journal_article","language":[{"iso":"eng"}],"quality_controlled":"1","date_published":"2023-05-01T00:00:00Z","citation":{"ieee":"Q. Zou, J. Qiu, Y. Zang, H. Tian, and L. Venkataraman, “Modulating single-molecule charge transport through external stimulus,” eScience, vol. 3, no. 3. Elsevier BV, 2023.","ama":"Zou Q, Qiu J, Zang Y, Tian H, Venkataraman L. Modulating single-molecule charge transport through external stimulus. eScience. 2023;3(3). doi:10.1016/j.esci.2023.100115","ista":"Zou Q, Qiu J, Zang Y, Tian H, Venkataraman L. 2023. Modulating single-molecule charge transport through external stimulus. eScience. 3(3), 100115.","chicago":"Zou, Qi, Jin Qiu, Yaping Zang, He Tian, and Latha Venkataraman. “Modulating Single-Molecule Charge Transport through External Stimulus.” EScience. Elsevier BV, 2023. https://doi.org/10.1016/j.esci.2023.100115.","apa":"Zou, Q., Qiu, J., Zang, Y., Tian, H., & Venkataraman, L. (2023). Modulating single-molecule charge transport through external stimulus. EScience. Elsevier BV. https://doi.org/10.1016/j.esci.2023.100115","mla":"Zou, Qi, et al. “Modulating Single-Molecule Charge Transport through External Stimulus.” EScience, vol. 3, no. 3, 100115, Elsevier BV, 2023, doi:10.1016/j.esci.2023.100115.","short":"Q. Zou, J. Qiu, Y. Zang, H. Tian, L. Venkataraman, EScience 3 (2023)."},"date_updated":"2024-11-25T12:41:14Z","title":"Modulating single-molecule charge transport through external stimulus","volume":3,"extern":"1","publication":"eScience","oa":1,"oa_version":"Published Version","year":"2023","OA_place":"publisher","month":"05","publication_status":"published","_id":"17863","issue":"3","doi":"10.1016/j.esci.2023.100115","scopus_import":"1","main_file_link":[{"open_access":"1","url":"https://www.sciencedirect.com/science/article/pii/S2667141723000332?via%3Dihub"}],"user_id":"68b8ca59-c5b3-11ee-8790-cd641c68093d","abstract":[{"lang":"eng","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."}]},{"pmid":1,"page":"1769-1774","publication_status":"published","issue":"7","_id":"17866","user_id":"68b8ca59-c5b3-11ee-8790-cd641c68093d","main_file_link":[{"url":"https://europepmc.org/article/pmc/pmc9931054","open_access":"1"}],"abstract":[{"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.","lang":"eng"}],"doi":"10.1039/d2sc06411a","OA_place":"publisher","month":"01","oa":1,"oa_version":"Published Version","year":"2023","volume":14,"title":"Electric fields drive bond homolysis","publication":"Chemical Science","extern":"1","date_published":"2023-01-16T00:00:00Z","quality_controlled":"1","citation":{"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.","mla":"Zhang, Boyuan, et al. “Electric Fields Drive Bond Homolysis.” Chemical Science, vol. 14, no. 7, Royal Society of Chemistry, 2023, pp. 1769–74, doi:10.1039/d2sc06411a.","apa":"Zhang, B., Schaack, C., Prindle, C. R., Vo, E. A., Aziz, M., Steigerwald, M. L., … Venkataraman, L. (2023). Electric fields drive bond homolysis. Chemical Science. Royal Society of Chemistry. https://doi.org/10.1039/d2sc06411a","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.” Chemical Science. Royal Society of Chemistry, 2023. https://doi.org/10.1039/d2sc06411a.","ieee":"B. Zhang et al., “Electric fields drive bond homolysis,” Chemical Science, vol. 14, no. 7. Royal Society of Chemistry, pp. 1769–1774, 2023.","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.","ama":"Zhang B, Schaack C, Prindle CR, et al. Electric fields drive bond homolysis. Chemical Science. 2023;14(7):1769-1774. doi:10.1039/d2sc06411a"},"date_updated":"2024-11-25T15:01:40Z","intvolume":" 14","language":[{"iso":"eng"}],"type":"journal_article","OA_type":"gold","author":[{"first_name":"Boyuan","last_name":"Zhang","full_name":"Zhang, Boyuan"},{"full_name":"Schaack, Cedric","first_name":"Cedric","last_name":"Schaack"},{"full_name":"Prindle, Claudia R.","last_name":"Prindle","first_name":"Claudia R."},{"last_name":"Vo","first_name":"Ethan A.","full_name":"Vo, Ethan A."},{"last_name":"Aziz","first_name":"Miriam","full_name":"Aziz, Miriam"},{"first_name":"Michael L.","last_name":"Steigerwald","full_name":"Steigerwald, Michael L."},{"last_name":"Berkelbach","first_name":"Timothy C.","full_name":"Berkelbach, Timothy C."},{"full_name":"Nuckolls, Colin","first_name":"Colin","last_name":"Nuckolls"},{"orcid":"0000-0002-6957-6089","full_name":"Venkataraman, Latha","first_name":"Latha","last_name":"Venkataraman","id":"9ebb78a5-cc0d-11ee-8322-fae086a32caf"}],"article_type":"original","publisher":"Royal Society of Chemistry","external_id":{"pmid":["36819847"]},"date_created":"2024-09-06T12:59:45Z","publication_identifier":{"issn":["2041-6520"],"eissn":["2041-6539"]},"article_processing_charge":"Yes","status":"public","day":"16"},{"oa":1,"oa_version":"Preprint","year":"2023","volume":619,"title":"Realization of a fractional quantum Hall state with ultracold atoms","publication":"Nature","extern":"1","_id":"18189","issue":"7970","page":"495-499","pmid":1,"publication_status":"published","abstract":[{"lang":"eng","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."}],"arxiv":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2210.10919"}],"scopus_import":"1","doi":"10.1038/s41586-023-06122-4","month":"06","author":[{"last_name":"Leonard","id":"b75b3f45-7995-11ef-9bfd-9a9cd02c3577","first_name":"Julian","full_name":"Leonard, Julian"},{"last_name":"Kim","first_name":"Sooshin","full_name":"Kim, Sooshin"},{"first_name":"Joyce","last_name":"Kwan","full_name":"Kwan, Joyce"},{"full_name":"Segura, Perrin","first_name":"Perrin","last_name":"Segura"},{"last_name":"Grusdt","first_name":"Fabian","full_name":"Grusdt, Fabian"},{"first_name":"Cécile","last_name":"Repellin","full_name":"Repellin, Cécile"},{"full_name":"Goldman, Nathan","first_name":"Nathan","last_name":"Goldman"},{"full_name":"Greiner, Markus","last_name":"Greiner","first_name":"Markus"}],"external_id":{"arxiv":["2210.10919"],"pmid":["37344594 "]},"publisher":"Springer Nature","article_type":"original","date_created":"2024-10-07T11:46:13Z","publication_identifier":{"issn":["0028-0836"],"eissn":["1476-4687"]},"article_processing_charge":"No","status":"public","day":"21","date_published":"2023-06-21T00:00:00Z","quality_controlled":"1","date_updated":"2024-10-08T11:09:24Z","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.","ieee":"J. Leonard et al., “Realization of a fractional quantum Hall state with ultracold atoms,” Nature, vol. 619, no. 7970. Springer Nature, pp. 495–499, 2023.","ama":"Leonard J, Kim S, Kwan J, et al. Realization of a fractional quantum Hall state with ultracold atoms. Nature. 2023;619(7970):495-499. doi:10.1038/s41586-023-06122-4","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. Nature. Springer Nature. https://doi.org/10.1038/s41586-023-06122-4","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.” Nature. Springer Nature, 2023. https://doi.org/10.1038/s41586-023-06122-4.","short":"J. Leonard, S. Kim, J. Kwan, P. Segura, F. Grusdt, C. Repellin, N. Goldman, M. Greiner, Nature 619 (2023) 495–499.","mla":"Leonard, Julian, et al. “Realization of a Fractional Quantum Hall State with Ultracold Atoms.” Nature, vol. 619, no. 7970, Springer Nature, 2023, pp. 495–99, doi:10.1038/s41586-023-06122-4."},"intvolume":" 619","language":[{"iso":"eng"}],"type":"journal_article"},{"date_updated":"2024-10-08T10:52:08Z","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.","ama":"Leonard J, Kim S, Rispoli M, et al. Probing the onset of quantum avalanches in a many-body localized system. Nature Physics. 2023;19(4):481-485. doi:10.1038/s41567-022-01887-3","ieee":"J. Leonard et al., “Probing the onset of quantum avalanches in a many-body localized system,” Nature Physics, vol. 19, no. 4. Springer Nature, pp. 481–485, 2023.","mla":"Leonard, Julian, et al. “Probing the Onset of Quantum Avalanches in a Many-Body Localized System.” Nature Physics, vol. 19, no. 4, Springer Nature, 2023, pp. 481–85, doi:10.1038/s41567-022-01887-3.","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.","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. Nature Physics. Springer Nature. https://doi.org/10.1038/s41567-022-01887-3","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.” Nature Physics. Springer Nature, 2023. https://doi.org/10.1038/s41567-022-01887-3."},"date_published":"2023-01-26T00:00:00Z","quality_controlled":"1","language":[{"iso":"eng"}],"type":"journal_article","intvolume":" 19","author":[{"id":"b75b3f45-7995-11ef-9bfd-9a9cd02c3577","last_name":"Leonard","first_name":"Julian","full_name":"Leonard, Julian"},{"last_name":"Kim","first_name":"Sooshin","full_name":"Kim, Sooshin"},{"last_name":"Rispoli","first_name":"Matthew","full_name":"Rispoli, Matthew"},{"full_name":"Lukin, Alexander","first_name":"Alexander","last_name":"Lukin"},{"first_name":"Robert","last_name":"Schittko","full_name":"Schittko, Robert"},{"first_name":"Joyce","last_name":"Kwan","full_name":"Kwan, Joyce"},{"full_name":"Demler, Eugene","last_name":"Demler","first_name":"Eugene"},{"full_name":"Sels, Dries","first_name":"Dries","last_name":"Sels"},{"full_name":"Greiner, Markus","last_name":"Greiner","first_name":"Markus"}],"external_id":{"arxiv":["2012.15270"]},"publisher":"Springer Nature","article_type":"letter_note","publication_identifier":{"issn":["1745-2473"],"eissn":["1745-2481"]},"article_processing_charge":"No","status":"public","day":"26","date_created":"2024-10-07T11:46:33Z","arxiv":1,"abstract":[{"lang":"eng","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."}],"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2012.15270","open_access":"1"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","scopus_import":"1","doi":"10.1038/s41567-022-01887-3","_id":"18190","issue":"4","publication_status":"published","page":"481-485","month":"01","year":"2023","oa":1,"oa_version":"Preprint","publication":"Nature Physics","extern":"1","title":"Probing the onset of quantum avalanches in a many-body localized system","volume":19},{"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"}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1038/s41598-023-32821-z"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","scopus_import":"1","doi":"10.1038/s41598-023-32821-z","_id":"18207","publication_status":"published","pmid":1,"month":"04","has_accepted_license":"1","year":"2023","oa_version":"Published Version","oa":1,"publication":"Scientific Reports","tmp":{"short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"extern":"1","volume":13,"title":"Water stabilizes an alternate turn conformation in horse heart myoglobin","date_updated":"2024-10-09T10:39:26Z","citation":{"chicago":"Bronstein, Alex M., and Ailie Marx. “Water Stabilizes an Alternate Turn Conformation in Horse Heart Myoglobin.” Scientific Reports. Springer Nature, 2023. https://doi.org/10.1038/s41598-023-32821-z.","apa":"Bronstein, A. M., & Marx, A. (2023). Water stabilizes an alternate turn conformation in horse heart myoglobin. Scientific Reports. Springer Nature. https://doi.org/10.1038/s41598-023-32821-z","short":"A.M. Bronstein, A. Marx, Scientific Reports 13 (2023).","mla":"Bronstein, Alex M., and Ailie Marx. “Water Stabilizes an Alternate Turn Conformation in Horse Heart Myoglobin.” Scientific Reports, vol. 13, 6094, Springer Nature, 2023, doi:10.1038/s41598-023-32821-z.","ama":"Bronstein AM, Marx A. Water stabilizes an alternate turn conformation in horse heart myoglobin. Scientific Reports. 2023;13. doi:10.1038/s41598-023-32821-z","ieee":"A. M. Bronstein and A. Marx, “Water stabilizes an alternate turn conformation in horse heart myoglobin,” Scientific Reports, vol. 13. Springer Nature, 2023.","ista":"Bronstein AM, Marx A. 2023. Water stabilizes an alternate turn conformation in horse heart myoglobin. Scientific Reports. 13, 6094."},"date_published":"2023-04-13T00:00:00Z","quality_controlled":"1","language":[{"iso":"eng"}],"type":"journal_article","intvolume":" 13","author":[{"last_name":"Bronstein","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","first_name":"Alexander","orcid":"0000-0001-9699-8730","full_name":"Bronstein, Alexander"},{"last_name":"Marx","first_name":"Ailie","full_name":"Marx, Ailie"}],"external_id":{"pmid":["37055458"]},"publisher":"Springer Nature","article_type":"original","article_processing_charge":"No","status":"public","publication_identifier":{"issn":["2045-2322"]},"day":"13","article_number":"6094","date_created":"2024-10-08T12:46:41Z"},{"date_published":"2023-10-05T00:00:00Z","quality_controlled":"1","date_updated":"2024-10-09T10:44:41Z","citation":{"chicago":"Weiss, Tomer, Eduardo Mayo Yanes, Sabyasachi Chakraborty, Luca Cosmo, Alex M. Bronstein, and Renana Gershoni-Poranne. “Guided Diffusion for Inverse Molecular Design.” Nature Computational Science. Springer Nature, 2023. https://doi.org/10.1038/s43588-023-00532-0.","apa":"Weiss, T., Mayo Yanes, E., Chakraborty, S., Cosmo, L., Bronstein, A. M., & Gershoni-Poranne, R. (2023). Guided diffusion for inverse molecular design. Nature Computational Science. Springer Nature. https://doi.org/10.1038/s43588-023-00532-0","short":"T. Weiss, E. Mayo Yanes, S. Chakraborty, L. Cosmo, A.M. Bronstein, R. Gershoni-Poranne, Nature Computational Science 3 (2023) 873–882.","mla":"Weiss, Tomer, et al. “Guided Diffusion for Inverse Molecular Design.” Nature Computational Science, vol. 3, no. 10, Springer Nature, 2023, pp. 873–82, doi:10.1038/s43588-023-00532-0.","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.","ieee":"T. Weiss, E. Mayo Yanes, S. Chakraborty, L. Cosmo, A. M. Bronstein, and R. Gershoni-Poranne, “Guided diffusion for inverse molecular design,” Nature Computational Science, vol. 3, no. 10. Springer Nature, pp. 873–882, 2023.","ama":"Weiss T, Mayo Yanes E, Chakraborty S, Cosmo L, Bronstein AM, Gershoni-Poranne R. Guided diffusion for inverse molecular design. Nature Computational Science. 2023;3(10):873-882. doi:10.1038/s43588-023-00532-0"},"intvolume":" 3","language":[{"iso":"eng"}],"type":"journal_article","author":[{"full_name":"Weiss, Tomer","first_name":"Tomer","last_name":"Weiss"},{"first_name":"Eduardo","last_name":"Mayo Yanes","full_name":"Mayo Yanes, Eduardo"},{"full_name":"Chakraborty, Sabyasachi","last_name":"Chakraborty","first_name":"Sabyasachi"},{"last_name":"Cosmo","first_name":"Luca","full_name":"Cosmo, Luca"},{"id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","last_name":"Bronstein","first_name":"Alexander","full_name":"Bronstein, Alexander","orcid":"0000-0001-9699-8730"},{"full_name":"Gershoni-Poranne, Renana","first_name":"Renana","last_name":"Gershoni-Poranne"}],"external_id":{"pmid":["38177755"]},"publisher":"Springer Nature","article_type":"original","date_created":"2024-10-08T12:46:58Z","publication_identifier":{"issn":["2662-8457"]},"article_processing_charge":"No","status":"public","day":"05","issue":"10","_id":"18208","pmid":1,"page":"873-882","publication_status":"published","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"}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.26434/chemrxiv-2023-z8ltp"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","scopus_import":"1","doi":"10.1038/s43588-023-00532-0","month":"10","oa":1,"oa_version":"Preprint","year":"2023","title":"Guided diffusion for inverse molecular design","volume":3,"publication":"Nature Computational Science","extern":"1"},{"date_updated":"2024-10-09T10:49:42Z","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.","ama":"Weiss T, Wahab A, Bronstein AM, Gershoni-Poranne R. Interpretable deep-learning unveils structure–property relationships in polybenzenoid hydrocarbons. The Journal of Organic Chemistry. 2023;88(14):9645-9656. doi:10.1021/acs.joc.2c02381","ieee":"T. Weiss, A. Wahab, A. M. Bronstein, and R. Gershoni-Poranne, “Interpretable deep-learning unveils structure–property relationships in polybenzenoid hydrocarbons,” The Journal of Organic Chemistry, vol. 88, no. 14. American Chemical Society, pp. 9645–9656, 2023.","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.” The Journal of Organic Chemistry, vol. 88, no. 14, American Chemical Society, 2023, pp. 9645–56, doi:10.1021/acs.joc.2c02381.","apa":"Weiss, T., Wahab, A., Bronstein, A. M., & Gershoni-Poranne, R. (2023). Interpretable deep-learning unveils structure–property relationships in polybenzenoid hydrocarbons. The Journal of Organic Chemistry. American Chemical Society. https://doi.org/10.1021/acs.joc.2c02381","chicago":"Weiss, Tomer, Alexandra Wahab, Alex M. Bronstein, and Renana Gershoni-Poranne. “Interpretable Deep-Learning Unveils Structure–Property Relationships in Polybenzenoid Hydrocarbons.” The Journal of Organic Chemistry. American Chemical Society, 2023. https://doi.org/10.1021/acs.joc.2c02381."},"date_published":"2023-01-25T00:00:00Z","quality_controlled":"1","language":[{"iso":"eng"}],"type":"journal_article","intvolume":" 88","author":[{"first_name":"Tomer","last_name":"Weiss","full_name":"Weiss, Tomer"},{"full_name":"Wahab, Alexandra","first_name":"Alexandra","last_name":"Wahab"},{"full_name":"Bronstein, Alexander","orcid":"0000-0001-9699-8730","first_name":"Alexander","last_name":"Bronstein","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6"},{"full_name":"Gershoni-Poranne, Renana","last_name":"Gershoni-Poranne","first_name":"Renana"}],"external_id":{"pmid":["36696660"]},"article_type":"original","publisher":"American Chemical Society","publication_identifier":{"issn":["0022-3263"],"eissn":["1520-6904"]},"status":"public","article_processing_charge":"No","day":"25","date_created":"2024-10-08T12:47:17Z","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"}],"main_file_link":[{"open_access":"1","url":"10.26434/chemrxiv-2022-krng1"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","scopus_import":"1","doi":"10.1021/acs.joc.2c02381","issue":"14","_id":"18209","publication_status":"published","page":"9645-9656","pmid":1,"month":"01","year":"2023","oa_version":"Preprint","oa":1,"publication":"The Journal of Organic Chemistry","extern":"1","volume":88,"title":"Interpretable deep-learning unveils structure–property relationships in polybenzenoid hydrocarbons"},{"title":"Demystifying graph sparsification algorithms in graph properties preservation","volume":17,"publication":"Proceedings of the VLDB Endowment","extern":"1","oa_version":"Preprint","oa":1,"year":"2023","month":"11","issue":"3","_id":"18214","page":"427-440","publication_status":"published","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.\r\n 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"}],"arxiv":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2311.12314"}],"scopus_import":"1","doi":"10.14778/3632093.3632106","date_created":"2024-10-08T12:48:57Z","publication_identifier":{"issn":["2150-8097"]},"status":"public","article_processing_charge":"No","day":"01","author":[{"first_name":"Yuhan","last_name":"Chen","full_name":"Chen, Yuhan"},{"full_name":"Ye, Haojie","first_name":"Haojie","last_name":"Ye"},{"last_name":"Vedula","first_name":"Sanketh","full_name":"Vedula, Sanketh"},{"orcid":"0000-0001-9699-8730","full_name":"Bronstein, Alexander","last_name":"Bronstein","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","first_name":"Alexander"},{"full_name":"Dreslinski, Ronald","last_name":"Dreslinski","first_name":"Ronald"},{"first_name":"Trevor","last_name":"Mudge","full_name":"Mudge, Trevor"},{"first_name":"Nishil","last_name":"Talati","full_name":"Talati, Nishil"}],"external_id":{"arxiv":["2311.12314"]},"article_type":"original","publisher":"Association for Computing Machinery","intvolume":" 17","language":[{"iso":"eng"}],"type":"journal_article","date_published":"2023-11-01T00:00:00Z","quality_controlled":"1","date_updated":"2024-10-09T11:28:33Z","citation":{"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.” Proceedings of the VLDB Endowment. Association for Computing Machinery, 2023. https://doi.org/10.14778/3632093.3632106.","apa":"Chen, Y., Ye, H., Vedula, S., Bronstein, A. M., Dreslinski, R., Mudge, T., & Talati, N. (2023). Demystifying graph sparsification algorithms in graph properties preservation. Proceedings of the VLDB Endowment. Association for Computing Machinery. https://doi.org/10.14778/3632093.3632106","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.","mla":"Chen, Yuhan, et al. “Demystifying Graph Sparsification Algorithms in Graph Properties Preservation.” Proceedings of the VLDB Endowment, vol. 17, no. 3, Association for Computing Machinery, 2023, pp. 427–40, doi:10.14778/3632093.3632106.","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. Proceedings of the VLDB Endowment. 2023;17(3):427-440. doi:10.14778/3632093.3632106","ieee":"Y. Chen et al., “Demystifying graph sparsification algorithms in graph properties preservation,” Proceedings of the VLDB Endowment, vol. 17, no. 3. Association for Computing Machinery, pp. 427–440, 2023."}},{"title":"Using deep reinforcement learning for mmWave real-time scheduling","extern":"1","publication":"14th International Conference on Network of the Future","oa":1,"oa_version":"Preprint","year":"2023","month":"11","publication_status":"published","page":"71-79","_id":"18215","doi":"10.1109/nof58724.2023.10302794","scopus_import":"1","main_file_link":[{"open_access":"1","url":" https://doi.org/10.48550/arXiv.2210.01423"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","abstract":[{"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.","lang":"eng"}],"arxiv":1,"date_created":"2024-10-08T12:50:18Z","day":"01","article_processing_charge":"No","publication_identifier":{"eissn":["2833-0072"],"isbn":["9798350338089"]},"status":"public","publisher":"IEEE","external_id":{"arxiv":["2210.01423"]},"author":[{"full_name":"Gahtan, Barak","first_name":"Barak","last_name":"Gahtan"},{"full_name":"Cohen, Reuven","first_name":"Reuven","last_name":"Cohen"},{"full_name":"Bronstein, Alexander","orcid":"0000-0001-9699-8730","first_name":"Alexander","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","last_name":"Bronstein"},{"last_name":"Kedar","first_name":"Gil","full_name":"Kedar, Gil"}],"type":"conference","language":[{"iso":"eng"}],"quality_controlled":"1","date_published":"2023-11-01T00:00:00Z","citation":{"apa":"Gahtan, B., Cohen, R., Bronstein, A. M., & Kedar, G. (2023). Using deep reinforcement learning for mmWave real-time scheduling. In 14th International Conference on Network of the Future (pp. 71–79). Izmir, Turkiye: IEEE. https://doi.org/10.1109/nof58724.2023.10302794","chicago":"Gahtan, Barak, Reuven Cohen, Alex M. Bronstein, and Gil Kedar. “Using Deep Reinforcement Learning for MmWave Real-Time Scheduling.” In 14th International Conference on Network of the Future, 71–79. IEEE, 2023. https://doi.org/10.1109/nof58724.2023.10302794.","mla":"Gahtan, Barak, et al. “Using Deep Reinforcement Learning for MmWave Real-Time Scheduling.” 14th International Conference on Network of the Future, IEEE, 2023, pp. 71–79, doi:10.1109/nof58724.2023.10302794.","short":"B. Gahtan, R. Cohen, A.M. Bronstein, G. Kedar, in:, 14th International Conference on Network of the Future, IEEE, 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.","ieee":"B. Gahtan, R. Cohen, A. M. Bronstein, and G. Kedar, “Using deep reinforcement learning for mmWave real-time scheduling,” in 14th International Conference on Network of the Future, Izmir, Turkiye, 2023, pp. 71–79.","ama":"Gahtan B, Cohen R, Bronstein AM, Kedar G. Using deep reinforcement learning for mmWave real-time scheduling. In: 14th International Conference on Network of the Future. IEEE; 2023:71-79. doi:10.1109/nof58724.2023.10302794"},"date_updated":"2024-10-09T11:40:45Z","conference":{"start_date":"2023-10-04","end_date":"2023-10-06","location":"Izmir, Turkiye","name":"NoF: Conference on Network of the Future"}},{"intvolume":" 120","type":"journal_article","language":[{"iso":"eng"}],"quality_controlled":"1","date_published":"2023-10-25T00:00:00Z","citation":{"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. Proceedings of the National Academy of Sciences. 2023;120(44). doi:10.1073/pnas.2301064120","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.","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,” Proceedings of the National Academy of Sciences, vol. 120, no. 44. National Academy of Sciences, 2023.","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.” Proceedings of the National Academy of Sciences. National Academy of Sciences, 2023. https://doi.org/10.1073/pnas.2301064120.","apa":"Rosenberg, A. A., Yehishalom, N., Marx, A., & Bronstein, A. M. (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. National Academy of Sciences. https://doi.org/10.1073/pnas.2301064120","short":"A.A. Rosenberg, N. Yehishalom, A. Marx, A.M. Bronstein, Proceedings of the National Academy of Sciences 120 (2023).","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.” Proceedings of the National Academy of Sciences, vol. 120, no. 44, e2301064120, National Academy of Sciences, 2023, doi:10.1073/pnas.2301064120."},"date_updated":"2024-10-09T11:55:12Z","date_created":"2024-10-08T12:50:36Z","article_number":"e2301064120","day":"25","article_processing_charge":"Yes (in subscription journal)","publication_identifier":{"eissn":["1091-6490"],"issn":["0027-8424"]},"status":"public","publisher":"National Academy of Sciences","article_type":"original","external_id":{"pmid":["37878722"]},"author":[{"full_name":"Rosenberg, Aviv A.","last_name":"Rosenberg","first_name":"Aviv A."},{"first_name":"Nitsan","last_name":"Yehishalom","full_name":"Yehishalom, Nitsan"},{"last_name":"Marx","first_name":"Ailie","full_name":"Marx, Ailie"},{"full_name":"Bronstein, Alexander","orcid":"0000-0001-9699-8730","first_name":"Alexander","last_name":"Bronstein","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6"}],"month":"10","pmid":1,"publication_status":"published","_id":"18216","issue":"44","doi":"10.1073/pnas.2301064120","scopus_import":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","main_file_link":[{"url":"https://doi.org/10.1073/pnas.2301064120","open_access":"1"}],"abstract":[{"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.","lang":"eng"}],"volume":120,"title":"An amino-domino model described by a cross-peptide-bond Ramachandran plot defines amino acid pairs as local structural units","extern":"1","publication":"Proceedings of the National Academy of Sciences","oa_version":"Published Version","oa":1,"year":"2023"},{"_id":"18217","publication_status":"published","arxiv":1,"abstract":[{"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.","lang":"eng"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2202.05204"}],"scopus_import":"1","doi":"10.1109/icra48891.2023.10160601","month":"07","oa_version":"Preprint","oa":1,"year":"2023","title":"Towards predicting fine finger motions from ultrasound images via kinematic representation","volume":27,"publication":"2023 IEEE International Conference on Robotics and Automation","extern":"1","date_published":"2023-07-04T00:00:00Z","quality_controlled":"1","conference":{"name":"ICRA: Conference on Robotics and Automation","location":"London, United Kingdom","end_date":"2023-06-02","start_date":"2023-05-29"},"date_updated":"2024-10-09T12:00:32Z","citation":{"ieee":"D. Zadok, O. Salzman, A. Wolf, and A. M. Bronstein, “Towards predicting fine finger motions from ultrasound images via kinematic representation,” in 2023 IEEE International Conference on Robotics and Automation, London, United Kingdom, 2023, vol. 27.","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.","ama":"Zadok D, Salzman O, Wolf A, Bronstein AM. Towards predicting fine finger motions from ultrasound images via kinematic representation. In: 2023 IEEE International Conference on Robotics and Automation. Vol 27. IEEE; 2023. doi:10.1109/icra48891.2023.10160601","short":"D. Zadok, O. Salzman, A. Wolf, A.M. Bronstein, in:, 2023 IEEE International Conference on Robotics and Automation, IEEE, 2023.","mla":"Zadok, Dean, et al. “Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation.” 2023 IEEE International Conference on Robotics and Automation, vol. 27, IEEE, 2023, doi:10.1109/icra48891.2023.10160601.","apa":"Zadok, D., Salzman, O., Wolf, A., & Bronstein, A. M. (2023). Towards predicting fine finger motions from ultrasound images via kinematic representation. In 2023 IEEE International Conference on Robotics and Automation (Vol. 27). London, United Kingdom: IEEE. https://doi.org/10.1109/icra48891.2023.10160601","chicago":"Zadok, Dean, Oren Salzman, Alon Wolf, and Alex M. Bronstein. “Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation.” In 2023 IEEE International Conference on Robotics and Automation, Vol. 27. IEEE, 2023. https://doi.org/10.1109/icra48891.2023.10160601."},"intvolume":" 27","language":[{"iso":"eng"}],"type":"conference","author":[{"full_name":"Zadok, Dean","last_name":"Zadok","first_name":"Dean"},{"full_name":"Salzman, Oren","first_name":"Oren","last_name":"Salzman"},{"full_name":"Wolf, Alon","first_name":"Alon","last_name":"Wolf"},{"orcid":"0000-0001-9699-8730","full_name":"Bronstein, Alexander","last_name":"Bronstein","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","first_name":"Alexander"}],"external_id":{"arxiv":["2202.05204"]},"publisher":"IEEE","date_created":"2024-10-08T12:50:55Z","publication_identifier":{"eisbn":["9798350323658"]},"status":"public","article_processing_charge":"No","day":"04"},{"intvolume":" 13847","language":[{"iso":"eng"}],"type":"conference","date_published":"2023-03-11T00:00:00Z","quality_controlled":"1","citation":{"apa":"Nemcovsky, Y., Jacoby, M., Bronstein, A. M., & Baskin, C. (2023). Physical passive patch adversarial attacks on visual odometry systems. In 16th Asian Conference on Computer Vision (Vol. 13847, pp. 518–534). Macao, China: Springer Nature. https://doi.org/10.1007/978-3-031-26293-7_31","chicago":"Nemcovsky, Yaniv, Matan Jacoby, Alex M. Bronstein, and Chaim Baskin. “Physical Passive Patch Adversarial Attacks on Visual Odometry Systems.” In 16th Asian Conference on Computer Vision, 13847:518–34. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-26293-7_31.","mla":"Nemcovsky, Yaniv, et al. “Physical Passive Patch Adversarial Attacks on Visual Odometry Systems.” 16th Asian Conference on Computer Vision, vol. 13847, Springer Nature, 2023, pp. 518–34, doi:10.1007/978-3-031-26293-7_31.","short":"Y. Nemcovsky, M. Jacoby, A.M. Bronstein, C. Baskin, in:, 16th Asian Conference on Computer Vision, Springer Nature, 2023, pp. 518–534.","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.","ieee":"Y. Nemcovsky, M. Jacoby, A. M. Bronstein, and C. Baskin, “Physical passive patch adversarial attacks on visual odometry systems,” in 16th Asian Conference on Computer Vision, Macao, China, 2023, vol. 13847, pp. 518–534.","ama":"Nemcovsky Y, Jacoby M, Bronstein AM, Baskin C. Physical passive patch adversarial attacks on visual odometry systems. In: 16th Asian Conference on Computer Vision. Vol 13847. Springer Nature; 2023:518-534. doi:10.1007/978-3-031-26293-7_31"},"conference":{"name":"ACCV: Asian Conference on Computer Vision","location":"Macao, China","end_date":"2022-12-08","start_date":"2022-12-04"},"date_updated":"2024-10-09T12:13:36Z","date_created":"2024-10-08T12:51:14Z","status":"public","publication_identifier":{"eisbn":["9783031262937"],"eissn":["1611-3349"],"issn":["0302-9743"],"isbn":["9783031262920"]},"article_processing_charge":"No","related_material":{"link":[{"relation":"software","url":"https://github.com/patchadversarialattacks/patchadversarialattacks"}]},"day":"11","author":[{"full_name":"Nemcovsky, Yaniv","last_name":"Nemcovsky","first_name":"Yaniv"},{"first_name":"Matan","last_name":"Jacoby","full_name":"Jacoby, Matan"},{"id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","last_name":"Bronstein","first_name":"Alexander","orcid":"0000-0001-9699-8730","full_name":"Bronstein, Alexander"},{"full_name":"Baskin, Chaim","last_name":"Baskin","first_name":"Chaim"}],"publisher":"Springer Nature","external_id":{"arxiv":["2207.05729"]},"month":"03","alternative_title":["LNCS"],"publication_status":"published","page":"518-534","_id":"18218","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2207.05729","open_access":"1"}],"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."}],"arxiv":1,"doi":"10.1007/978-3-031-26293-7_31","scopus_import":"1","title":"Physical passive patch adversarial attacks on visual odometry systems","volume":13847,"publication":"16th Asian Conference on Computer Vision","extern":"1","oa":1,"oa_version":"Preprint","year":"2023"},{"volume":4,"title":"ISP Distillation","extern":"1","publication":"IEEE Open Journal of Signal Processing","oa_version":"Published Version","oa":1,"year":"2023","month":"01","page":"12-20","publication_status":"published","_id":"18219","doi":"10.1109/ojsp.2023.3239819","scopus_import":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1109/OJSP.2023.3239819"}],"abstract":[{"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.","lang":"eng"}],"arxiv":1,"date_created":"2024-10-08T12:51:32Z","day":"25","article_processing_charge":"No","publication_identifier":{"issn":["2644-1322"]},"status":"public","article_type":"original","publisher":"Institute of Electrical and Electronics Engineers","external_id":{"arxiv":["2101.10203"]},"author":[{"full_name":"Schwartz, Eli","last_name":"Schwartz","first_name":"Eli"},{"first_name":"Alexander","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","last_name":"Bronstein","full_name":"Bronstein, Alexander","orcid":"0000-0001-9699-8730"},{"full_name":"Giryes, Raja","last_name":"Giryes","first_name":"Raja"}],"intvolume":" 4","type":"journal_article","language":[{"iso":"eng"}],"quality_controlled":"1","date_published":"2023-01-25T00:00:00Z","citation":{"ieee":"E. Schwartz, A. M. Bronstein, and R. Giryes, “ISP Distillation,” IEEE Open Journal of Signal Processing, vol. 4. Institute of Electrical and Electronics Engineers, pp. 12–20, 2023.","ama":"Schwartz E, Bronstein AM, Giryes R. ISP Distillation. IEEE Open Journal of Signal Processing. 2023;4:12-20. doi:10.1109/ojsp.2023.3239819","ista":"Schwartz E, Bronstein AM, Giryes R. 2023. ISP Distillation. IEEE Open Journal of Signal Processing. 4, 12–20.","chicago":"Schwartz, Eli, Alex M. Bronstein, and Raja Giryes. “ISP Distillation.” IEEE Open Journal of Signal Processing. Institute of Electrical and Electronics Engineers, 2023. https://doi.org/10.1109/ojsp.2023.3239819.","apa":"Schwartz, E., Bronstein, A. M., & Giryes, R. (2023). ISP Distillation. IEEE Open Journal of Signal Processing. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ojsp.2023.3239819","short":"E. Schwartz, A.M. Bronstein, R. Giryes, IEEE Open Journal of Signal Processing 4 (2023) 12–20.","mla":"Schwartz, Eli, et al. “ISP Distillation.” IEEE Open Journal of Signal Processing, vol. 4, Institute of Electrical and Electronics Engineers, 2023, pp. 12–20, doi:10.1109/ojsp.2023.3239819."},"date_updated":"2024-10-09T12:24:13Z"},{"oa_version":"Preprint","oa":1,"year":"2023","volume":36,"title":"Continuum limit for the Ablowitz–Ladik system","extern":"1","publication":"Nonlinearity","_id":"22046","issue":"7","page":"3751-3775","publication_status":"published","scopus_import":"1","keyword":["Ablowitz–Ladik","continuum limit","cubic NLS"],"doi":"10.1088/1361-6544/acd978","arxiv":1,"abstract":[{"text":"We show that solutions to the Ablowitz–Ladik system converge to solutions of the cubic nonlinear Schrödinger equation for merely L2 initial data. Furthermore, we consider initial data for this lattice model that excites Fourier modes near both critical points of the discrete dispersion relation and demonstrate convergence to a decoupled system of nonlinear Schrödinger equations.","lang":"eng"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2206.02720"}],"month":"06","OA_place":"repository","external_id":{"arxiv":["2206.02720"]},"publisher":"IOP Publishing","article_type":"original","author":[{"full_name":"Killip, Rowan","last_name":"Killip","first_name":"Rowan"},{"full_name":"Ouyang, Zhimeng","first_name":"Zhimeng","last_name":"Ouyang"},{"id":"056daca0-b8d1-11f0-964f-f91054abf8ca","last_name":"Visan","first_name":"Monica","full_name":"Visan, Monica"},{"full_name":"Wu, Lei","last_name":"Wu","first_name":"Lei"}],"mathsc":["35Q55","37K05","37K10"],"date_created":"2026-06-19T07:49:24Z","day":"09","article_processing_charge":"No","publication_identifier":{"eissn":["1361-6544"],"issn":["0951-7715"]},"status":"public","das_tickbox":"1","quality_controlled":"1","date_published":"2023-06-09T00:00:00Z","date_updated":"2026-06-25T07:54:44Z","citation":{"ista":"Killip R, Ouyang Z, Vişan M, Wu L. 2023. Continuum limit for the Ablowitz–Ladik system. Nonlinearity. 36(7), 3751–3775.","ama":"Killip R, Ouyang Z, Vişan M, Wu L. Continuum limit for the Ablowitz–Ladik system. Nonlinearity. 2023;36(7):3751-3775. doi:10.1088/1361-6544/acd978","ieee":"R. Killip, Z. Ouyang, M. Vişan, and L. Wu, “Continuum limit for the Ablowitz–Ladik system,” Nonlinearity, vol. 36, no. 7. IOP Publishing, pp. 3751–3775, 2023.","short":"R. Killip, Z. Ouyang, M. Vişan, L. Wu, Nonlinearity 36 (2023) 3751–3775.","mla":"Killip, Rowan, et al. “Continuum Limit for the Ablowitz–Ladik System.” Nonlinearity, vol. 36, no. 7, IOP Publishing, 2023, pp. 3751–75, doi:10.1088/1361-6544/acd978.","chicago":"Killip, Rowan, Zhimeng Ouyang, Monica Vişan, and Lei Wu. “Continuum Limit for the Ablowitz–Ladik System.” Nonlinearity. IOP Publishing, 2023. https://doi.org/10.1088/1361-6544/acd978.","apa":"Killip, R., Ouyang, Z., Vişan, M., & Wu, L. (2023). Continuum limit for the Ablowitz–Ladik system. Nonlinearity. IOP Publishing. https://doi.org/10.1088/1361-6544/acd978"},"intvolume":" 36","OA_type":"green","type":"journal_article","language":[{"iso":"eng"}]},{"OA_place":"publisher","month":"08","publication_status":"published","page":"1245-1270","_id":"22067","issue":"5","main_file_link":[{"open_access":"1","url":"https://doi.org/10.2140/apde.2023.16.1245"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","abstract":[{"lang":"eng","text":"We consider the derivative nonlinear Schrödinger equation in one space dimension, posed both on the line and on the circle. This model is known to be completely integrable and L^2-critical with respect to scaling. We first discuss whether ensembles of orbits with L^2-equicontinuous initial data remain equicontinuous under evolution. We prove that this is true under the restriction \r\nM(q)=∫∣∣q∣∣2<4π. We conjecture that this restriction is unnecessary. Further, we prove that the problem is globally well posed for initial data in H1∕6 under the same restriction on M. Moreover, we show that this restriction would be removed by a successful resolution of our equicontinuity conjecture."}],"arxiv":1,"doi":"10.2140/apde.2023.16.1245","scopus_import":"1","volume":16,"title":"On the well-posedness problem for the derivativenonlinear Schrödinger equation","tmp":{"short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"publication":"Analysis & PDE","extern":"1","oa_version":"Published Version","oa":1,"has_accepted_license":"1","year":"2023","ddc":["500"],"intvolume":" 16","language":[{"iso":"eng"}],"type":"journal_article","OA_type":"diamond","date_published":"2023-08-12T00:00:00Z","das_tickbox":"1","quality_controlled":"1","citation":{"ista":"Killip R, Ntekoume M, Vişan M. 2023. On the well-posedness problem for the derivativenonlinear Schrödinger equation. Analysis & PDE. 16(5), 1245–1270.","ieee":"R. Killip, M. Ntekoume, and M. Vişan, “On the well-posedness problem for the derivativenonlinear Schrödinger equation,” Analysis & PDE, vol. 16, no. 5. Mathematical Sciences Publishers, pp. 1245–1270, 2023.","ama":"Killip R, Ntekoume M, Vişan M. On the well-posedness problem for the derivativenonlinear Schrödinger equation. Analysis & PDE. 2023;16(5):1245-1270. doi:10.2140/apde.2023.16.1245","chicago":"Killip, Rowan, Maria Ntekoume, and Monica Vişan. “On the Well-Posedness Problem for the Derivativenonlinear Schrödinger Equation.” Analysis & PDE. Mathematical Sciences Publishers, 2023. https://doi.org/10.2140/apde.2023.16.1245.","apa":"Killip, R., Ntekoume, M., & Vişan, M. (2023). On the well-posedness problem for the derivativenonlinear Schrödinger equation. Analysis & PDE. Mathematical Sciences Publishers. https://doi.org/10.2140/apde.2023.16.1245","short":"R. Killip, M. Ntekoume, M. Vişan, Analysis & PDE 16 (2023) 1245–1270.","mla":"Killip, Rowan, et al. “On the Well-Posedness Problem for the Derivativenonlinear Schrödinger Equation.” Analysis & PDE, vol. 16, no. 5, Mathematical Sciences Publishers, 2023, pp. 1245–70, doi:10.2140/apde.2023.16.1245."},"date_updated":"2026-06-30T07:20:56Z","date_created":"2026-06-19T08:15:32Z","publication_identifier":{"issn":["2157-5045"],"eissn":["1948-206X"]},"status":"public","article_processing_charge":"No","day":"12","author":[{"first_name":"Rowan","last_name":"Killip","full_name":"Killip, Rowan"},{"last_name":"Ntekoume","first_name":"Maria","full_name":"Ntekoume, Maria"},{"first_name":"Monica","id":"056daca0-b8d1-11f0-964f-f91054abf8ca","last_name":"Visan","full_name":"Visan, Monica"}],"publisher":"Mathematical Sciences Publishers","article_type":"original","external_id":{"arxiv":["2101.12274"]},"mathsc":["35Q55"]},{"status":"public","publication_identifier":{"issn":["0002-9939"],"eissn":["1088-6826"]},"article_processing_charge":"No","day":"01","date_created":"2026-06-19T08:12:42Z","mathsc":["35Q55"],"author":[{"last_name":"Killip","first_name":"Rowan","full_name":"Killip, Rowan"},{"full_name":"Murphy, Jason","first_name":"Jason","last_name":"Murphy"},{"last_name":"Visan","id":"056daca0-b8d1-11f0-964f-f91054abf8ca","first_name":"Monica","full_name":"Visan, Monica"}],"external_id":{"arxiv":["2207.02414"]},"publisher":"American Mathematical Society","article_type":"original","language":[{"iso":"eng"}],"OA_type":"green","type":"journal_article","intvolume":" 151","date_updated":"2026-06-30T07:08:20Z","citation":{"mla":"Killip, Rowan, et al. “The Scattering Map Determines the Nonlinearity.” Proceedings of the American Mathematical Society, vol. 151, no. 6, American Mathematical Society, 2023, pp. 2543–57, doi:10.1090/proc/16297.","short":"R. Killip, J. Murphy, M. Vişan, Proceedings of the American Mathematical Society 151 (2023) 2543–2557.","chicago":"Killip, Rowan, Jason Murphy, and Monica Vişan. “The Scattering Map Determines the Nonlinearity.” Proceedings of the American Mathematical Society. American Mathematical Society, 2023. https://doi.org/10.1090/proc/16297.","apa":"Killip, R., Murphy, J., & Vişan, M. (2023). The scattering map determines the nonlinearity. Proceedings of the American Mathematical Society. American Mathematical Society. https://doi.org/10.1090/proc/16297","ieee":"R. Killip, J. Murphy, and M. Vişan, “The scattering map determines the nonlinearity,” Proceedings of the American Mathematical Society, vol. 151, no. 6. American Mathematical Society, pp. 2543–2557, 2023.","ista":"Killip R, Murphy J, Vişan M. 2023. The scattering map determines the nonlinearity. Proceedings of the American Mathematical Society. 151(6), 2543–2557.","ama":"Killip R, Murphy J, Vişan M. The scattering map determines the nonlinearity. Proceedings of the American Mathematical Society. 2023;151(6):2543-2557. doi:10.1090/proc/16297"},"date_published":"2023-06-01T00:00:00Z","quality_controlled":"1","das_tickbox":"1","publication":"Proceedings of the American Mathematical Society","extern":"1","volume":151,"title":"The scattering map determines the nonlinearity","year":"2023","oa":1,"oa_version":"Preprint","month":"06","OA_place":"repository","arxiv":1,"abstract":[{"lang":"eng","text":"Using the two-dimensional nonlinear Schrödinger equation as a model example, we present a general method for recovering the nonlinearity of a nonlinear dispersive equation from its small-data scattering behavior. We prove that under very mild assumptions on the nonlinearity, the wave operator uniquely determines the nonlinearity, as does the scattering map. Evaluating the scattering map on well-chosen initial data, we reduce the problem to an inverse convolution problem, which we solve by means of an application of the Beurling–Lax Theorem."}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2207.02414"}],"scopus_import":"1","doi":"10.1090/proc/16297","_id":"22064","issue":"6","publication_status":"published","page":"2543-2557"},{"author":[{"full_name":"Harrop-Griffiths, Benjamin","first_name":"Benjamin","last_name":"Harrop-Griffiths"},{"first_name":"Rowan","last_name":"Killip","full_name":"Killip, Rowan"},{"first_name":"Monica","id":"056daca0-b8d1-11f0-964f-f91054abf8ca","last_name":"Visan","full_name":"Visan, Monica"}],"publisher":"Oxford University Press","article_type":"original","external_id":{"arxiv":["2106.13333"]},"publication_identifier":{"issn":["1073-7928"],"eissn":["1687-0247"]},"status":"public","article_processing_charge":"No","day":"01","date_created":"2026-06-19T08:22:03Z","citation":{"short":"B. Harrop-Griffiths, R. Killip, M. Vişan, International Mathematics Research Notices 2023 (2023) 4601–4642.","mla":"Harrop-Griffiths, Benjamin, et al. “Large-Data Equicontinuity for the Derivative NLS.” International Mathematics Research Notices, vol. 2023, no. 6, Oxford University Press, 2023, pp. 4601–42, doi:10.1093/imrn/rnab374.","chicago":"Harrop-Griffiths, Benjamin, Rowan Killip, and Monica Vişan. “Large-Data Equicontinuity for the Derivative NLS.” International Mathematics Research Notices. Oxford University Press, 2023. https://doi.org/10.1093/imrn/rnab374.","apa":"Harrop-Griffiths, B., Killip, R., & Vişan, M. (2023). Large-data equicontinuity for the derivative NLS. International Mathematics Research Notices. Oxford University Press. https://doi.org/10.1093/imrn/rnab374","ieee":"B. Harrop-Griffiths, R. Killip, and M. Vişan, “Large-data equicontinuity for the derivative NLS,” International Mathematics Research Notices, vol. 2023, no. 6. Oxford University Press, pp. 4601–4642, 2023.","ama":"Harrop-Griffiths B, Killip R, Vişan M. Large-data equicontinuity for the derivative NLS. International Mathematics Research Notices. 2023;2023(6):4601-4642. doi:10.1093/imrn/rnab374","ista":"Harrop-Griffiths B, Killip R, Vişan M. 2023. Large-data equicontinuity for the derivative NLS. International Mathematics Research Notices. 2023(6), 4601–4642."},"date_updated":"2026-06-30T10:56:42Z","date_published":"2023-03-01T00:00:00Z","quality_controlled":"1","das_tickbox":"1","language":[{"iso":"eng"}],"OA_type":"green","type":"journal_article","intvolume":" 2023","year":"2023","oa":1,"oa_version":"Preprint","publication":"International Mathematics Research Notices","extern":"1","title":"Large-data equicontinuity for the derivative NLS","volume":2023,"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2106.13333"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","arxiv":1,"abstract":[{"lang":"eng","text":"We consider the derivative nonlinear Schrödinger equation in one spatial dimension, which is known to be completely integrable. We prove that the orbits of L^2 bounded and equicontinuous sets of initial data remain bounded and equicontinuous, not only under this flow, but also under the entire hierarchy. This allows us to remove the small-data restriction from prior conservation laws and global well-posedness results."}],"doi":"10.1093/imrn/rnab374","scopus_import":"1","publication_status":"published","page":"4601-4642","_id":"22072","issue":"6","OA_place":"repository","month":"03"},{"language":[{"iso":"eng"}],"type":"conference_abstract","month":"04","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","conference":{"location":"Vienna, Austria & Virtual","name":"EGU General Assembly","start_date":"2023-04-23","end_date":"2023-04-28"},"date_updated":"2026-07-02T06:42:45Z","citation":{"chicago":"Polesello, Andrea, Caroline J Muller, Claudia Pasquero, and Agostino N. Meroni. “Intensification Mechanisms of Tropical Cyclones.” In EGU General Assembly 2023. European Geosciences Union, 2023. https://doi.org/10.5194/egusphere-egu23-6157.","apa":"Polesello, A., Muller, C. J., Pasquero, C., & Meroni, A. N. (2023). Intensification mechanisms of tropical cyclones. In EGU General Assembly 2023. Vienna, Austria & Virtual: European Geosciences Union. https://doi.org/10.5194/egusphere-egu23-6157","mla":"Polesello, Andrea, et al. “Intensification Mechanisms of Tropical Cyclones.” EGU General Assembly 2023, EGU23-6157, European Geosciences Union, 2023, doi:10.5194/egusphere-egu23-6157.","short":"A. Polesello, C.J. Muller, C. Pasquero, A.N. Meroni, in:, EGU General Assembly 2023, European Geosciences Union, 2023.","ieee":"A. Polesello, C. J. Muller, C. Pasquero, and A. N. Meroni, “Intensification mechanisms of tropical cyclones,” in EGU General Assembly 2023, Vienna, Austria & Virtual, 2023.","ista":"Polesello A, Muller CJ, Pasquero C, Meroni AN. 2023. Intensification mechanisms of tropical cyclones. EGU General Assembly 2023. EGU General Assembly, EGU23-6157.","ama":"Polesello A, Muller CJ, Pasquero C, Meroni AN. Intensification mechanisms of tropical cyclones. In: EGU General Assembly 2023. European Geosciences Union; 2023. doi:10.5194/egusphere-egu23-6157"},"doi":"10.5194/egusphere-egu23-6157","date_published":"2023-04-13T00:00:00Z","_id":"14863","file_date_updated":"2024-01-24T11:19:54Z","publication_status":"published","publication":"EGU General Assembly 2023","tmp":{"short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"article_processing_charge":"No","status":"public","day":"13","article_number":"EGU23-6157","corr_author":"1","date_created":"2024-01-22T12:08:12Z","title":"Intensification mechanisms of tropical cyclones","department":[{"_id":"CaMu"},{"_id":"GradSch"}],"has_accepted_license":"1","ddc":["550"],"year":"2023","oa_version":"Published Version","oa":1,"author":[{"id":"74c777f4-32da-11ee-b498-874db0835561","last_name":"Polesello","first_name":"Andrea","full_name":"Polesello, Andrea"},{"last_name":"Muller","id":"f978ccb0-3f7f-11eb-b193-b0e2bd13182b","first_name":"Caroline J","orcid":"0000-0001-5836-5350","full_name":"Muller, Caroline J"},{"last_name":"Pasquero","first_name":"Claudia","full_name":"Pasquero, Claudia"},{"full_name":"Meroni, Agostino N.","first_name":"Agostino N.","last_name":"Meroni"}],"file":[{"relation":"main_file","date_updated":"2024-01-24T11:19:54Z","success":1,"creator":"dernst","content_type":"application/pdf","file_id":"14883","access_level":"open_access","file_size":296769,"file_name":"2023_EGU_Polesello.pdf","checksum":"8cb88c1bc80ccee328478a62064d98f7","date_created":"2024-01-24T11:19:54Z"}],"publisher":"European Geosciences Union"}]