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American Institute of Mathematical Sciences. <a href=\"https://doi.org/10.3934/jmd.2026012\">https://doi.org/10.3934/jmd.2026012</a>","chicago":"Baracco, Luca, Olga Bernardi, and Alessandra Nardi. “Area Spectral Rigidity for Axially Symmetric Symplectic Billiard Tables.” <i>Journal of Modern Dynamics</i>. American Institute of Mathematical Sciences, 2026. <a href=\"https://doi.org/10.3934/jmd.2026012\">https://doi.org/10.3934/jmd.2026012</a>.","ista":"Baracco L, Bernardi O, Nardi A. 2026. Area spectral rigidity for axially symmetric symplectic billiard tables. Journal of Modern Dynamics. 22, 469–488.","ama":"Baracco L, Bernardi O, Nardi A. Area spectral rigidity for axially symmetric symplectic billiard tables. <i>Journal of Modern Dynamics</i>. 2026;22:469-488. doi:<a href=\"https://doi.org/10.3934/jmd.2026012\">10.3934/jmd.2026012</a>","ieee":"L. Baracco, O. Bernardi, and A. Nardi, “Area spectral rigidity for axially symmetric symplectic billiard tables,” <i>Journal of Modern Dynamics</i>, vol. 22. American Institute of Mathematical Sciences, pp. 469–488, 2026.","short":"L. Baracco, O. Bernardi, A. Nardi, Journal of Modern Dynamics 22 (2026) 469–488."},"date_published":"2026-07-24T00:00:00Z","OA_type":"green","doi":"10.3934/jmd.2026012","status":"public","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2410.12644"}],"abstract":[{"lang":"eng","text":"We prove that any finitely smooth, axially symmetric, strictly convex domain with everywhere positive curvature and sufficiently close to an ellipse is area spectrally rigid. This means that any area-isospectral family of domains in this class is necessarily equi-affine. We use techniques, adapted to symplectic billiards, inspired by the paper of J. De Simoi, V. Kaloshin and Q. Wei [5]."}],"month":"07","external_id":{"arxiv":["2410.12644"]},"type":"journal_article","das_tickbox":"0","oa_version":"Preprint","publication":"Journal of Modern Dynamics","volume":22,"arxiv":1,"day":"24","corr_author":"1","OA_place":"repository","language":[{"iso":"eng"}],"mathsc":["37D50","53C24","58J53"],"year":"2026","intvolume":"        22","oa":1,"page":"469-488","_id":"22953","date_created":"2026-09-17T11:05:53Z","supplementarymaterial":"no","scopus_import":"1","publication_identifier":{"eissn":["1930-532X"],"issn":["1930-5311"]},"publisher":"American Institute of Mathematical Sciences","article_type":"original","author":[{"first_name":"Luca","full_name":"Baracco, Luca","last_name":"Baracco"},{"first_name":"Olga","last_name":"Bernardi","full_name":"Bernardi, Olga"},{"full_name":"Nardi, Alessandra","last_name":"Nardi","id":"3e9c89df-ff0c-11f0-9fd7-c11e36d36769","first_name":"Alessandra"}],"title":"Area spectral rigidity for axially symmetric symplectic billiard tables","quality_controlled":"1"},{"scopus_import":"1","file":[{"file_size":1359968,"file_name":"2026_BioinformaticsAdvances_Franzotti.pdf","date_updated":"2026-10-01T08:55:00Z","date_created":"2026-10-01T08:55:00Z","content_type":"application/pdf","creator":"dernst","relation":"main_file","access_level":"open_access","file_id":"23016","checksum":"8885b0531a655103c46899b2f935b0db","success":1}],"publisher":"Oxford University Press","publication_identifier":{"eissn":["2635-0041"]},"DOAJ_listed":"1","article_type":"original","author":[{"full_name":"Padilla Franzotti, Carla L","last_name":"Padilla Franzotti","first_name":"Carla L"},{"first_name":"Gabriel J","full_name":"Olguín-Orellana, Gabriel J","last_name":"Olguín-Orellana"},{"first_name":"Nicolas","last_name":"Palopoli","full_name":"Palopoli, Nicolas"},{"last_name":"Urquiza-Zurich","full_name":"Urquiza-Zurich, Sebastián","first_name":"Sebastián"},{"last_name":"Garcia-Moreno","full_name":"Garcia-Moreno, Adrian","first_name":"Adrian"},{"first_name":"Sara","full_name":"Monzón, Sara","last_name":"Monzón"},{"first_name":"Mónica","full_name":"Cabrera-Pasadas, Mónica","last_name":"Cabrera-Pasadas"},{"first_name":"Irene","last_name":"Soler Sáez","full_name":"Soler Sáez, Irene"},{"full_name":"Perpiñá-Clérigues, Carla","last_name":"Perpiñá-Clérigues","first_name":"Carla"},{"first_name":"Rafael J","full_name":"Puche Quiñonez, Rafael J","last_name":"Puche Quiñonez"},{"first_name":"Jennifer","last_name":"Vélez Segura","full_name":"Vélez Segura, Jennifer"},{"last_name":"Lovaco-Flores","full_name":"Lovaco-Flores, Jose Abel","first_name":"Jose Abel"},{"first_name":"Cleidy M","full_name":"Osorio Mogollón, Cleidy M","last_name":"Osorio Mogollón"},{"last_name":"Esquinas-Román","full_name":"Esquinas-Román, Eva M","first_name":"Eva M"},{"full_name":"Miserendino, Maria C","last_name":"Miserendino","id":"273e0cbd-72f0-11ef-b75a-f9f932e292fa","first_name":"Maria C"},{"first_name":"Pradeep","full_name":"Eranti, Pradeep","last_name":"Eranti"},{"first_name":"Ana","full_name":"Castillo-Orozco, Ana","last_name":"Castillo-Orozco"},{"first_name":"Yesid","full_name":"Cuesta-Astroz, Yesid","last_name":"Cuesta-Astroz"},{"last_name":"Parra","full_name":"Parra, R Gonzalo","first_name":"R Gonzalo"}],"quality_controlled":"1","title":"Bioinformatics in Español: Expanding open, diverse, and collaborative science through SEH2Bioinfo","date_created":"2026-09-17T11:06:17Z","_id":"22957","file_date_updated":"2026-10-01T08:55:00Z","supplementarymaterial":"no","language":[{"iso":"eng"}],"OA_place":"publisher","year":"2026","intvolume":"         6","oa":1,"volume":6,"publication":"Bioinformatics Advances","day":"06","acknowledgement":"We acknowledge the sponsors who made the SEH2Bioinfo possible, the organizers from the various Spanish-speaking RSGs, and\r\nthe collaborators who contributed to dissemination, logistics,\r\nand other essential tasks for its execution. G.J.O.-O. thanks the\r\nFONDECYT Postdoctoral Project No. 3250793 for financial support. G.J.O.-O. also expresses gratitude to Valentina Luza: “May\r\nher passion for science communication keep inspiring new generations, myself included, to infinity and beyond!” R.G.P.\r\nthanks the Argentinian public university education system as an\r\nelement of social ascendance and democratization of professional opportunities.","related_material":{"link":[{"relation":"erratum","url":"https://doi.org/10.1093/bioadv/vbag271"}]},"abstract":[{"lang":"eng","text":"Linguistic inequality remains a silent barrier in contemporary science, particularly in rapidly evolving and interdisciplinary fields such as bioinformatics. This article examines how the Spanish-speaking community has responded to this gap through the creation of the Simposio de Estudiantes Hispanohablantes de Bioinformática y Biología Computacional (SEH2Bioinfo), a collective initiative that transforms language into a tool for inclusion and collaboration. Drawing on a historical review of the use of Spanish in scientific communication and an analysis of the two editions of SEH2Bioinfo (2022 and 2025), complemented by surveys of more than 1500 participants, we explore the effects of language on confidence, participation, and academic visibility. The findings show that Spanish can serve as a space for training and mentorship without compromising rigor, while simultaneously strengthening international networks and promoting open science. The growth of SEH2Bioinfo, its collaborative approach, and its intercontinental reach establish the symposium as a model for linguistic equity in scientific practice. Its experience demonstrates that expanding linguistic diversity in bioinformatics is not only possible but essential to building a global scientific community that is fairer, more connected, and representative."}],"month":"08","external_id":{"pmid":["42577783"]},"type":"journal_article","oa_version":"Published Version","das_tickbox":"1","citation":{"apa":"Padilla Franzotti, C. L., Olguín-Orellana, G. J., Palopoli, N., Urquiza-Zurich, S., Garcia-Moreno, A., Monzón, S., … Parra, R. G. (2026). Bioinformatics in Español: Expanding open, diverse, and collaborative science through SEH2Bioinfo. <i>Bioinformatics Advances</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/bioadv/vbag182\">https://doi.org/10.1093/bioadv/vbag182</a>","mla":"Padilla Franzotti, Carla L., et al. “Bioinformatics in Español: Expanding Open, Diverse, and Collaborative Science through SEH2Bioinfo.” <i>Bioinformatics Advances</i>, vol. 6, no. 1, vbag182, Oxford University Press, 2026, doi:<a href=\"https://doi.org/10.1093/bioadv/vbag182\">10.1093/bioadv/vbag182</a>.","ama":"Padilla Franzotti CL, Olguín-Orellana GJ, Palopoli N, et al. Bioinformatics in Español: Expanding open, diverse, and collaborative science through SEH2Bioinfo. <i>Bioinformatics Advances</i>. 2026;6(1). doi:<a href=\"https://doi.org/10.1093/bioadv/vbag182\">10.1093/bioadv/vbag182</a>","chicago":"Padilla Franzotti, Carla L, Gabriel J Olguín-Orellana, Nicolas Palopoli, Sebastián Urquiza-Zurich, Adrian Garcia-Moreno, Sara Monzón, Mónica Cabrera-Pasadas, et al. “Bioinformatics in Español: Expanding Open, Diverse, and Collaborative Science through SEH2Bioinfo.” <i>Bioinformatics Advances</i>. Oxford University Press, 2026. <a href=\"https://doi.org/10.1093/bioadv/vbag182\">https://doi.org/10.1093/bioadv/vbag182</a>.","ista":"Padilla Franzotti CL, Olguín-Orellana GJ, Palopoli N, Urquiza-Zurich S, Garcia-Moreno A, Monzón S, Cabrera-Pasadas M, Soler Sáez I, Perpiñá-Clérigues C, Puche Quiñonez RJ, Vélez Segura J, Lovaco-Flores JA, Osorio Mogollón CM, Esquinas-Román EM, Miserendino MC, Eranti P, Castillo-Orozco A, Cuesta-Astroz Y, Parra RG. 2026. Bioinformatics in Español: Expanding open, diverse, and collaborative science through SEH2Bioinfo. Bioinformatics Advances. 6(1), vbag182.","short":"C.L. Padilla Franzotti, G.J. Olguín-Orellana, N. Palopoli, S. Urquiza-Zurich, A. Garcia-Moreno, S. Monzón, M. Cabrera-Pasadas, I. Soler Sáez, C. Perpiñá-Clérigues, R.J. Puche Quiñonez, J. Vélez Segura, J.A. Lovaco-Flores, C.M. Osorio Mogollón, E.M. Esquinas-Román, M.C. Miserendino, P. Eranti, A. Castillo-Orozco, Y. Cuesta-Astroz, R.G. Parra, Bioinformatics Advances 6 (2026).","ieee":"C. L. Padilla Franzotti <i>et al.</i>, “Bioinformatics in Español: Expanding open, diverse, and collaborative science through SEH2Bioinfo,” <i>Bioinformatics Advances</i>, vol. 6, no. 1. Oxford University Press, 2026."},"ddc":["570"],"date_published":"2026-08-06T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png"},"dataavailabilitystatement":"The data underlying this article, including the abstract books for\r\nthe first and second editions of the SEH2Bioinfo symposia, are\r\navailable in Zenodo at https://doi.org/10.5281/zenodo.6603621\r\nand https://doi.org/10.5281/zenodo.1,54,46,570, respectively.","OA_type":"gold","doi":"10.1093/bioadv/vbag182","status":"public","article_number":"vbag182","pmid":1,"license":"https://creativecommons.org/licenses/by/4.0/","department":[{"_id":"PaSc"},{"_id":"GradSch"}],"has_accepted_license":"1","article_processing_charge":"Yes","fulldoi":"https://doi.org/10.1093/bioadv/vbag182","date_updated":"2026-10-01T08:59:32Z","issue":"1","publication_status":"published","researchdata_availability":"yes","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"supplementarymaterial":"yes","file_date_updated":"2026-10-01T09:17:19Z","date_created":"2026-09-17T11:06:23Z","_id":"22958","author":[{"first_name":"Marta M","full_name":"Marchese, Marta M","id":"fdac3bd4-d1c1-11ef-aaa4-fad05dc21577","last_name":"Marchese"},{"first_name":"Daniel","last_name":"Braun","full_name":"Braun, Daniel"},{"first_name":"Stefan","last_name":"Nimmrichter","full_name":"Nimmrichter, Stefan"},{"last_name":"Rätzel","full_name":"Rätzel, Dennis","first_name":"Dennis"}],"article_type":"original","DOAJ_listed":"1","title":"Cascaded optomechanical sensing for small signals","quality_controlled":"1","file":[{"success":1,"checksum":"b932d9f4bac1a2f6777e41d884b7b703","file_id":"23018","access_level":"open_access","creator":"dernst","relation":"main_file","content_type":"application/pdf","date_created":"2026-10-01T09:17:19Z","date_updated":"2026-10-01T09:17:19Z","file_name":"2026_NewJourPhysics_Marchese.pdf","file_size":799610}],"scopus_import":"1","publication_identifier":{"eissn":["1367-2630"]},"publisher":"IOP Publishing","acknowledgement":"We thank Germain Tobar, Navdeep Arya, Magdalena Zych, Teodor Strömberg and Onur Hosten for useful discussions. M M M acknowledges support from the Walter Benjamin Programme (Project Number 510053905) and from the Austrian Science Fund (FWF) [10.55776/COE1]. DB acknowledges funding by the EU EIC Pathfinder project QuCoM (101046973). D R acknowledges funding by the Federal Ministry of Education and Research of Germany in the project ‘Open6GHub’ (Grant Number: 16KISK016), financial support from EPSRC (Engineering & Physical Sciences Research Council, United Kingdom) Grant Number EP/X009467/1, and support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy—EXC-2123 QuantumFrontiers - 390837967.","arxiv":1,"day":"13","publication":"New Journal of Physics","volume":28,"intvolume":"        28","oa":1,"corr_author":"1","OA_place":"publisher","language":[{"iso":"eng"}],"year":"2026","dataavailabilitystatement":"All data that support the findings of this study are included within the article (and any supplementary files).","doi":"10.1088/1367-2630/ae8b16","OA_type":"gold","project":[{"_id":"3b79db15-b029-11f1-a721-dbd41d892ec2","grant_number":"COE01","name":"Quantum Science Austria (Hosten)"}],"status":"public","ddc":["530"],"citation":{"short":"M.M. Marchese, D. Braun, S. Nimmrichter, D. Rätzel, New Journal of Physics 28 (2026).","ieee":"M. M. Marchese, D. Braun, S. Nimmrichter, and D. Rätzel, “Cascaded optomechanical sensing for small signals,” <i>New Journal of Physics</i>, vol. 28, no. 8. IOP Publishing, 2026.","chicago":"Marchese, Marta M, Daniel Braun, Stefan Nimmrichter, and Dennis Rätzel. “Cascaded Optomechanical Sensing for Small Signals.” <i>New Journal of Physics</i>. IOP Publishing, 2026. <a href=\"https://doi.org/10.1088/1367-2630/ae8b16\">https://doi.org/10.1088/1367-2630/ae8b16</a>.","ista":"Marchese MM, Braun D, Nimmrichter S, Rätzel D. 2026. Cascaded optomechanical sensing for small signals. New Journal of Physics. 28(8), 084505.","ama":"Marchese MM, Braun D, Nimmrichter S, Rätzel D. Cascaded optomechanical sensing for small signals. <i>New Journal of Physics</i>. 2026;28(8). doi:<a href=\"https://doi.org/10.1088/1367-2630/ae8b16\">10.1088/1367-2630/ae8b16</a>","apa":"Marchese, M. M., Braun, D., Nimmrichter, S., &#38; Rätzel, D. (2026). Cascaded optomechanical sensing for small signals. <i>New Journal of Physics</i>. IOP Publishing. <a href=\"https://doi.org/10.1088/1367-2630/ae8b16\">https://doi.org/10.1088/1367-2630/ae8b16</a>","mla":"Marchese, Marta M., et al. “Cascaded Optomechanical Sensing for Small Signals.” <i>New Journal of Physics</i>, vol. 28, no. 8, 084505, IOP Publishing, 2026, doi:<a href=\"https://doi.org/10.1088/1367-2630/ae8b16\">10.1088/1367-2630/ae8b16</a>."},"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png"},"date_published":"2026-08-13T00:00:00Z","external_id":{"arxiv":["2602.08981"]},"type":"journal_article","das_tickbox":"1","oa_version":"Published Version","abstract":[{"lang":"eng","text":"We propose a sensing scheme for detecting weak forces that achieves sensitivity scaling proportional to the number of individual sensors without relying on entanglement or other non-classical resources. Our scheme utilizes coherent averaging across a chain of \r\n optomechanical cavities, unidirectionally coupled via a laser beam. As the beam passes through the cavities, it accumulates phase shifts induced by a common external force acting on the mechanical elements. Remarkably, this fully classical approach achieves the sensitivity scaling typically associated with quantum-enhanced protocols, providing a robust and experimentally feasible route to precision sensing. Potential applications range from high-sensitivity gravitational field measurements at the Large Hadron Collider to probing dark matter interactions and detecting gravitational waves. This work opens a new pathway for leveraging coherent light-matter interactions for force sensing."}],"month":"08","publication_status":"published","issue":"8","fulldoi":"https://doi.org/10.1088/1367-2630/ae8b16","date_updated":"2026-10-01T09:19:39Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","researchdata_availability":"no","department":[{"_id":"OnHo"}],"article_processing_charge":"Yes","has_accepted_license":"1","article_number":"084505"},{"file_date_updated":"2026-10-01T09:24:22Z","date_created":"2026-09-17T11:06:36Z","_id":"22959","supplementarymaterial":"no","publication_identifier":{"eissn":["1741-0134"],"issn":["1741-0126"]},"publisher":"Oxford University 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Nilmani"},{"full_name":"Smith, Benjamin J","last_name":"Smith","first_name":"Benjamin J"},{"last_name":"Spangler","full_name":"Spangler, Jamie B","first_name":"Jamie B"},{"first_name":"Rie","last_name":"Tatsumi-Koga","full_name":"Tatsumi-Koga, Rie"},{"first_name":"Takuya","full_name":"Terai, Takuya","last_name":"Terai"},{"full_name":"Terholsen, Henrik","last_name":"Terholsen","first_name":"Henrik"},{"full_name":"Tolhurst, Mattias","last_name":"Tolhurst","first_name":"Mattias"},{"full_name":"Tripp, Katherine W","last_name":"Tripp","first_name":"Katherine W"},{"first_name":"Vanessa Tanja","last_name":"Trossmann","full_name":"Trossmann, Vanessa Tanja"},{"full_name":"Tucker, Chandra L","last_name":"Tucker","first_name":"Chandra L"},{"full_name":"Turak, Onur","last_name":"Turak","first_name":"Onur"},{"last_name":"Van Deventer","full_name":"Van Deventer, James A","first_name":"James A"},{"full_name":"Várnai, Anikó","last_name":"Várnai","first_name":"Anikó"},{"first_name":"Isabelle F T","last_name":"Viana","full_name":"Viana, Isabelle F T"},{"first_name":"Amy M","last_name":"Weeks","full_name":"Weeks, Amy M"},{"last_name":"Wittrup","full_name":"Wittrup, K Dane","first_name":"K Dane"},{"first_name":"Kingsley L-J","full_name":"Wong, Kingsley L-J","last_name":"Wong"},{"full_name":"Xi, Chenggang","last_name":"Xi","first_name":"Chenggang"},{"first_name":"Todd O","last_name":"Yeates","full_name":"Yeates, Todd O"},{"first_name":"Andy Hsien-Wei","last_name":"Yeh","full_name":"Yeh, Andy Hsien-Wei"},{"first_name":"Jin","last_name":"Zhang","full_name":"Zhang, Jin"},{"full_name":"Zhang, Tiger S","last_name":"Zhang","first_name":"Tiger S"},{"full_name":"Zhao, Huimin","last_name":"Zhao","first_name":"Huimin"},{"first_name":"Fang","last_name":"Zheng","full_name":"Zheng, Fang"},{"first_name":"Jingyi","full_name":"Zhu, Jingyi","last_name":"Zhu"},{"first_name":"Sacha","last_name":"Zinn","full_name":"Zinn, Sacha"}],"volume":39,"publication":"Protein Engineering, Design and Selection","acknowledgement":"Research in the lab of H.A. is supported by the National Institutes of Health (R01EB033172, R01EB035430, and R01AG077773).\r\n\r\nResearch in the lab of F.H.A. is supported by the US Army Research Office cooperative agreement for the Institute for Collaborative Biotechnologies (W911NF-19-2-0026) and the US Department of Energy, Office of Science, Office of Basic Energy Sciences (DE-SC0021141). This report was prepared as an account of work sponsored by an agency of the US Government. Neither the US Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the US Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the US Government or any agency thereof.\r\n\r\nResearch in the lab of D.B. has been supported by National Institutes of Health (NIH) (R35-GM158123-01 and R01-GM068462).\r\n\r\nResearch in the lab of H.B. is supported by grants from the Bill & Melinda Gates Foundation and Oxford Nanopore Technologies.\r\n\r\nResearch in the lab of R.E.C. is supported by grants from the Japan Society for the Promotion of Science (JSPS) (23K26794, 24H00489, and 24H02267), Japan Science and Technology Agency (JST) (JPMJCR25T3), the Mitsubishi Foundation, and the NIH (U01NS123658).\r\n\r\nResearch in the lab of P.C. is supported by grants from the Vidyasirimedhi Institute of Science and Technology (VISTEC), NSRF via the Program Management Unit for Human Resources & Institutional Development (PMU-B) Research and Innovation grant number B05F640089, and KasikornBank Public Company Limited.\r\n\r\nResearch in the lab of R.A.C. is supported by grants from the Natural Sciences and Engineering Research Council of Canada (RGPIN-2021-03484, RGPAS-2021-00017, and ALLRP-597074-24), the Human Frontier Science Program (RGP0004/2022) and the Canada Foundation for Innovation (26503 and 42695). B.J.S. was supported by an NSERC Canada Graduate Research Scholarship.\r\n\r\nResearch in the lab of V.G.H.E. is supported by grants from the European Research Council, ERC (grant number 856446, CUBE), the Novo Nordisk Foundation (Emerging Investigator grant to A.V.; grant number 0061165) and the Research Council of Norway (grant numbers 309558, Centre for Industrial Biotechnology, SFI-IB, and 257622, Bio4Fuels).\r\n\r\nThis project in the lab of R.F. was supported by Robert A. Welch Foundation (AT-0051-20221212), and the Cancer Prevention and Research Institute of Texas (grant RR230018).\r\n\r\nResearch in the lab of M.S.F. is supported by ETH Zurich and the Swiss National Science Foundation (SNSF) under grant number CR00I5-235927.\r\n\r\nThis project in the lab of J.J.G is supported by the NIH (R35 GM141881) and a National Science Foundation (NSF) Graduate Research Fellowship Program to M.C.\r\n\r\nRelated research in the lab of B.H. is supported by the German Research Foundation (DFG) Project Number 391977956—SFB 1357 Microplastics, subproject C03 and by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 951375 (ERC Synergy—ArtMotor).\r\n\r\nRelated work in the lab of S.C.L.K. is supported by the NSF under Grant No. 2414074. S.C.L.K. is the Georgia Research Alliance—Vasser Wooley Chair of Molecular Design at Georgia Tech.\r\n\r\nResearch in the lab of N.K. is supported by grants from the JSPS (24H02261).\r\n\r\nThis project in the lab of B.K. was supported by the NIH (R35 GM131923).\r\n\r\nResearch in the lab of R.E.K. on bispecific antibodies is supported by a grant from the Baden-Württemberg Stiftung and various industry collaborations. Past research was funded by the Deutsche Krebshilfe, the BMBF, and the Deutsche Forschungsgemeinschaft.\r\n\r\nResearch in the lab of R.D.L. (Protein Engineering and Structural Genomics group) is supported by grants from Brazilian National Research Council—CNPq (303833/2022-0, 307370/2025-9), the Oswaldo Cruz Fondation—Fiocruz (VPPIS-004-FIO-22, IAM-005-FIO-22, VPPCB-002-FIO25), and the Brazilian National Supercomputing Center—LNCC.\r\n\r\nChemical protein synthesis research in the lab of L.L. is supported by NSFC (22137005, 22227810, T2488301) and New Cornerstone Science Foundation.\r\n\r\nResearch in the lab of M.M.M. is supported by a Wellcome Trust/Royal Society Sir Henry Dale Fellowship (202250/Z/16/Z); the Biotechnology and Biological Sciences Research Council (BB/W015730/1) and a UKRI Postdoc Guarantee Fellowship (Horizon Europe Guarantee via EPSRC EP/Z000823/1 to L.F.G).\r\n\r\nResearch in the lab of F.Z. is partially supported by the Natural Science Foundation of Shaanxi Province (2025SF-YBXM-421).\r\n\r\nResearch in the lab of J.K.N. is supported by the NIH (R35GM155044), Biohub, San Francisco, the Pew Charitable Trusts, The Vallee Foundation, The Shurl and Kay Curci Foundation, the Bakar Fellows Program, and a Sloan Research Fellowship. I.J.O. acknowledges support from a Gilliam Fellowship from the Howard Hughes Medical Institute.\r\n\r\nResearch in the lab of J.N.P. is supported by the Natural Science and Engineering Research Council of Canada (RGPIN-N-2018-04686) and the Canada Research Chair in Engineering of Applied Proteins (CRC-2020-00171). D.J.F. is supported by a fellowship from the Fonds de recherche du Québec.\r\n\r\nResearch in the lab of A.P. has been supported predominantly by grants from the SNSF, the European Union, the European Research Council, as well as by pre- and postdoctoral fellowships to the co-workers.\r\n\r\nResearch in the lab of Y.Q. is supported by a Horizon Europe Guarantee ERC Starting Grant (EP/Z000351/1) and a Biotechnology and Biological Sciences Research Council Research Grant (BB/W00349X/1).\r\n\r\nJ.C.R. acknowledges partial support from the SNSF Postdoc.Mobility (P500PN_214290). The author thanks Chenghao Liu and Jason Yang for fruitful discussions.\r\n\r\nResearch in the lab of S.S. is supported by a NWO-VIDI grant from the Netherlands Organization for Scientific Research (NWO, VI.Vidi.213.025) and the European Research Council, ERC (grant agreement number 101075934, ReCNNSTRCT).\r\n\r\nResearch in the lab of J.B.S. is supported by a Helmsley Charitable Trust grant and a Swim Across America grant.\r\n\r\nThis project in the lab of C.L.T. was supported by a grant from the National Institute of General Medical Sciences of the NIH (R35GM136367).\r\n\r\nResearch on ncAAs in the lab of J.A.V. is supported by a grant from the National Institute of General Medical Sciences of the NIH (R35GM133471) and a grant from the NSF (2339201). The content is solely the responsibility of the author and does not necessarily represent the official views of the NIH or the NSF.\r\n\r\nResearch in the lab of A.M.W is supported by an NIH Director’s New Innovator Award (DP2GM149548), a David and Lucille Packard Fellowship for Science and Engineering (2021-73007), an Ono Pharma Foundation Breakthrough Science Initiative Award (149802896), and the University of Wisconsin—Madison Department of Biochemistry.\r\n\r\nProjects in the lab of A.H-W.Y. are supported by NIH/NIBIB R00EB031913, UCSC startup/Innovation Catalyst Grant, and Chan Zuckerberg Initiative (2024-337820).\r\n\r\nResearch in the lab of J.Zhang is supported by NIH grants R35 CA197622, R01 DK073368, R01 DE030497, R01 HL162302, R01 CA262815, and RF1 MH126707.\r\n\r\nResearch in the lab of H. Z. is supported by the DOE Center for Advanced Bioenergy and Bioproducts Innovation (U.S. Department of Energy, Office of Science, Biological and Environmental Research Program under Award Number DE-SC0018420), National Science Foundation (NSF) (DBI-2400058, OISE-2435374, IIS-2435755, and CHE-2505932), and National Institutes of Health (NIH) (AI144967). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the DOE, NSF or NIH.\r\n\r\nThe authors are grateful to the anonymous peer reviewers and to Anna Devor for inspiration and guidance for preparing this manuscript.","day":"17","year":"2026","OA_place":"publisher","language":[{"iso":"eng"}],"oa":1,"intvolume":"        39","date_published":"2026-07-17T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png"},"ddc":["570"],"citation":{"ieee":"H. Ai <i>et al.</i>, “Protein engineering: Status report,” <i>Protein Engineering, Design and Selection</i>, vol. 39. Oxford University Press, 2026.","short":"H. Ai, F.H. Arnold, D. Barrick, H. Bayley, A.-L.R. Brownless, R.E. Campbell, R. Castells-Graells, P. Chaiyen, R.A. Chica, L.O. Chisholm, D. Christ, G.-C. Chu, M. Chungyoun, V.G.H. Eijsink, M.B. Elowitz, D.J. Fansher, R. Fasan, G. Foley, M.S. Frei, A. Gagsteiger, R. Gao, E.M.J. Gillam, J.J. Gray, L.F. Guerra, B. Höcker, Z. Jin, S.C.L. Kamerlin, N. Koga, R.E. Kontermann, B. Kuhlman, O.A. Langlois, D. Li, R.D. Lins, C.C. Liu, L. Liu, D. López Barreiro, P. Lu, S. Mehta, I. Miyazaki, M.M. Müller, S. Muyldermans, N. Nemoto, J. Nivala, J.K. Nuñez, I.J. Ornelas, J.N. Pelletier, A. Plückthun, O.T. Porth, K. Prakinee, Y. Qing, J. Reisenbauer, S. Schmidt, O. Seifert, M.G. Shapiro, R. Sharma, N. Singh, B.J. Smith, J.B. Spangler, R. Tatsumi-Koga, T. Terai, H. Terholsen, M. Tolhurst, K.W. Tripp, V.T. Trossmann, C.L. Tucker, O. Turak, J.A. Van Deventer, A. Várnai, I.F.T. Viana, A.M. Weeks, K.D. Wittrup, K.L.-J. Wong, C. Xi, T.O. Yeates, A.H.-W. Yeh, J. Zhang, T.S. Zhang, H. Zhao, F. Zheng, J. Zhu, S. Zinn, Protein Engineering, Design and Selection 39 (2026).","ista":"Ai H, Arnold FH, Barrick D, Bayley H, Brownless A-LR, Campbell RE, Castells-Graells R, Chaiyen P, Chica RA, Chisholm LO, Christ D, Chu G-C, Chungyoun M, Eijsink VGH, Elowitz MB, Fansher DJ, Fasan R, Foley G, Frei MS, Gagsteiger A, Gao R, Gillam EMJ, Gray JJ, Guerra LF, Höcker B, Jin Z, Kamerlin SCL, Koga N, Kontermann RE, Kuhlman B, Langlois OA, Li D, Lins RD, Liu CC, Liu L, López Barreiro D, Lu P, Mehta S, Miyazaki I, Müller MM, Muyldermans S, Nemoto N, Nivala J, Nuñez JK, Ornelas IJ, Pelletier JN, Plückthun A, Porth OT, Prakinee K, Qing Y, Reisenbauer J, Schmidt S, Seifert O, Shapiro MG, Sharma R, Singh N, Smith BJ, Spangler JB, Tatsumi-Koga R, Terai T, Terholsen H, Tolhurst M, Tripp KW, Trossmann VT, Tucker CL, Turak O, Van Deventer JA, Várnai A, Viana IFT, Weeks AM, Wittrup KD, Wong KL-J, Xi C, Yeates TO, Yeh AH-W, Zhang J, Zhang TS, Zhao H, Zheng F, Zhu J, Zinn S. 2026. Protein engineering: Status report. Protein Engineering, Design and Selection. 39, gzag020.","ama":"Ai H, Arnold FH, Barrick D, et al. Protein engineering: Status report. <i>Protein Engineering, Design and Selection</i>. 2026;39. doi:<a href=\"https://doi.org/10.1093/protein/gzag020\">10.1093/protein/gzag020</a>","chicago":"Ai, Hui-wang, Frances H Arnold, Doug Barrick, Hagan Bayley, Alfie-Louise R Brownless, Robert E Campbell, Roger Castells-Graells, et al. “Protein Engineering: Status Report.” <i>Protein Engineering, Design and Selection</i>. Oxford University Press, 2026. <a href=\"https://doi.org/10.1093/protein/gzag020\">https://doi.org/10.1093/protein/gzag020</a>.","apa":"Ai, H., Arnold, F. H., Barrick, D., Bayley, H., Brownless, A.-L. R., Campbell, R. E., … Zinn, S. (2026). Protein engineering: Status report. <i>Protein Engineering, Design and Selection</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/protein/gzag020\">https://doi.org/10.1093/protein/gzag020</a>","mla":"Ai, Hui-wang, et al. “Protein Engineering: Status Report.” <i>Protein Engineering, Design and Selection</i>, vol. 39, gzag020, Oxford University Press, 2026, doi:<a href=\"https://doi.org/10.1093/protein/gzag020\">10.1093/protein/gzag020</a>."},"status":"public","doi":"10.1093/protein/gzag020","dataavailabilitystatement":"No new data were generated or analysed in support of this research.","OA_type":"hybrid","month":"07","abstract":[{"text":"With this status report, we aim to provide a timely snapshot of the protein engineering field as a broad and rapidly advancing discipline that integrates computational, molecular biology, structure-guided, evolutionary, and synthetic approaches to create new and improved proteins with tailored structures and useful functions. The report is organized into eight thematic areas spanning core methodologies and major application domains, including enzymes, therapeutics, detection, synthetic biology, and materials. Contributions from experts across these areas highlight both the historical foundations and recent advances in their respective fields, with particular emphasis on the growing influence of machine learning and artificial intelligence-based methods. Emerging from this broad overview is a central message: protein engineering appears to be entering a golden age, defined by a rapidly accelerating pace of progress, even as significant challenges in design, screening, and real-world application remain. Looking ahead, the continued integration of computational and experimental strategies is poised to further accelerate the impact of protein engineering across an expanding range of economically and societally important sectors, from therapeutics and molecular imaging to diagnostics, plastic recycling, and industrial chemistry.","lang":"eng"}],"oa_version":"Published Version","das_tickbox":"1","external_id":{"pmid":["42466865"]},"type":"journal_article","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","researchdata_availability":"no","publication_status":"published","date_updated":"2026-10-01T09:29:15Z","fulldoi":"https://doi.org/10.1093/protein/gzag020","pmid":1,"article_number":"gzag020","article_processing_charge":"No","has_accepted_license":"1","department":[{"_id":"JuRe"}]},{"article_processing_charge":"No","has_accepted_license":"1","department":[{"_id":"GradSch"},{"_id":"ChLa"}],"alternative_title":["ISTA Thesis"],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication_status":"published","fulldoi":"https://doi.org/10.15479/AT-ISTA-21198","date_updated":"2026-10-01T09:29:03Z","month":"02","abstract":[{"text":"In recent years there has been a massive increase in the amount of data generated in a\r\ndecentralized manner. Ever more powerful edge devices, such as smartphones, have become\r\nubiquitous in most societies on earth. Through text typed, photos taken and apps used,\r\nthese devices, which we refer to as clients, generate enormous amounts of high quality and\r\ncomplex data. Moreover, the nature of these devices means the data they generate is often\r\nsensitive and privacy concerns prevent it being gathered and stored in a central location. This\r\npresents a challenge to the modern machine learning paradigm that requires central access\r\nto large amounts of data. Federated learning (FL) has emerged as one of the answers to\r\nthis problem. Rather than bringing the data to the model, FL sends the model to the data.\r\nModel training takes place on device, with periodically synchronized updates, allowing data to\r\nremain locally stored. While this approach offers significant privacy advantages it comes with\r\nits own set of unique challenges. These include: data heterogeneity, the notion that different\r\ndevices generate data in distinct ways which can negatively impact training dynamics; systems\r\nheterogeneity, meaning that different devices may have differing hardware specifications; high\r\ncommunication costs, which are induced by the repeated transferring of models over the\r\nnetwork and low device computational power, which limits the use of larger models on device.\r\nIn this thesis we present a range of methods for federated learning. We focus primarily on\r\nthe challenge of data heterogeneity, though the methods presented are designed to be well\r\nadapted to the other challenges of a federated setting, such as the constraints of limited\r\ncompute and communication overhead. We first present a method for explicitly modeling client\r\ndata heterogeneity. The approach formulates clients as samples from a certain probability\r\ndistribution and infers the parameters of this distribution from the available training clients.\r\nThis learned distribution then represents the heterogeneity present among the clients and can\r\nbe sampled from in order to create new simulated clients that are similar to the real clients we\r\nhave observed so far. Following this we present two methods for directly dealing with data\r\nheterogeneity through personalization. Highly heterogeneous client data distributions can mean\r\nthat learning a single global model becomes suboptimal, and some form of personalization of\r\nmodels to each individual client is required. Our approaches are based around hypernetworks,\r\nwhich we use to generate personalized model parameters without the need for additional\r\ntraining or finetuning. In the first approach we focus on generating full parameterizations of\r\nclient models using learned embeddings of client data and labels, with a hypernetwork located\r\non the central server. In the second approach we address the more challenging scenario where\r\nwe want to generate a personalized model for a client without any label information. The\r\nhypernetwork is trained to generate a low dimensional representation of a client’s personalized\r\nmodel parameters, allowing it to be transferred to and run on the client devices. In our final\r\npresented method, we change our focus and rather than aim to directly address the challenge\r\nof data heterogeneity, we instead ensure we are unaffected by it. This is done in the context\r\nof k-means clustering and we present a method for federated clustering with a focus on added\r\nprivacy guarantees.","lang":"eng"}],"related_material":{"record":[{"status":"public","id":"21207","relation":"part_of_dissertation"},{"relation":"part_of_dissertation","id":"20819","status":"public"},{"relation":"part_of_dissertation","id":"17411","status":"public"},{"relation":"part_of_dissertation","id":"18120","status":"public"}]},"oa_version":"Published Version","type":"dissertation","date_published":"2026-02-09T00:00:00Z","citation":{"mla":"Scott, Jonathan A. <i>Data Heterogeneity and Personalization in Federated Learning</i>. Institute of Science and Technology Austria, 2026, doi:<a href=\"https://doi.org/10.15479/AT-ISTA-21198\">10.15479/AT-ISTA-21198</a>.","apa":"Scott, J. A. (2026). <i>Data heterogeneity and personalization in federated learning</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT-ISTA-21198\">https://doi.org/10.15479/AT-ISTA-21198</a>","chicago":"Scott, Jonathan A. “Data Heterogeneity and Personalization in Federated Learning.” Institute of Science and Technology Austria, 2026. <a href=\"https://doi.org/10.15479/AT-ISTA-21198\">https://doi.org/10.15479/AT-ISTA-21198</a>.","ista":"Scott JA. 2026. Data heterogeneity and personalization in federated learning. Institute of Science and Technology Austria.","ama":"Scott JA. Data heterogeneity and personalization in federated learning. 2026. doi:<a href=\"https://doi.org/10.15479/AT-ISTA-21198\">10.15479/AT-ISTA-21198</a>","short":"J.A. Scott, Data Heterogeneity and Personalization in Federated Learning, Institute of Science and Technology Austria, 2026.","ieee":"J. A. Scott, “Data heterogeneity and personalization in federated learning,” Institute of Science and Technology Austria, 2026."},"ddc":["005"],"project":[{"grant_number":"COE12","name":"Bilateral Artificial Intelligence (Lampert)","_id":"d8f03aaa-b035-11f1-8588-d5147fa879e0"}],"status":"public","doi":"10.15479/AT-ISTA-21198","year":"2026","acknowledged_ssus":[{"_id":"ScienComp"}],"OA_place":"publisher","corr_author":"1","language":[{"iso":"eng"}],"oa":1,"supervisor":[{"orcid":"0000-0001-8622-7887","first_name":"Christoph","last_name":"Lampert","full_name":"Lampert, Christoph","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87"}],"acknowledgement":"This research was funded in part by the Austrian Science Fund (FWF)\r\n[10.55776/COE12]. Furthermore, the candidate acknowledges the support from the Scientific\r\nService Units (SSU) of ISTA through resources provided by Scientific Computing (SciComp).","degree_awarded":"PhD","day":"09","publication_identifier":{"issn":["2663-337X"]},"publisher":"Institute of Science and Technology Austria","file":[{"checksum":"121c1d968bd86f3630aa7e81d5bbbcb0","file_id":"21298","access_level":"closed","creator":"jscott","relation":"source_file","content_type":"application/zip","file_name":"2026_Scott_Jonathan_Thesis_Source.zip","date_updated":"2026-02-17T11:46:22Z","date_created":"2026-02-17T11:46:22Z","file_size":272379252},{"content_type":"application/pdf","date_updated":"2026-02-27T10:25:41Z","date_created":"2026-02-27T10:25:41Z","file_name":"2026_Jonathan_Scott_Thesis.pdf","file_size":15220298,"success":1,"checksum":"6e3e08ba474bbee8511cc8a839ab2077","file_id":"21366","access_level":"open_access","creator":"jscott","relation":"main_file"}],"doi_confirm":"1","title":"Data heterogeneity and personalization in federated learning","author":[{"last_name":"Scott","id":"e499926b-f6e0-11ea-865d-9c63db0031e8","full_name":"Scott, Jonathan A","first_name":"Jonathan A"}],"file_date_updated":"2026-02-27T10:25:41Z","_id":"21198","date_created":"2026-02-09T14:59:53Z","page":"158"},{"date_published":"2026-05-11T00:00:00Z","ddc":["000"],"citation":{"short":"E.B. Iofinova, On the Utility and Effects of Efficiency in Artificial Neural Networks, Institute of Science and Technology Austria, 2026.","ieee":"E. B. Iofinova, “On the utility and effects of efficiency in artificial neural networks,” Institute of Science and Technology Austria, 2026.","ama":"Iofinova EB. On the utility and effects of efficiency in artificial neural networks. 2026. doi:<a href=\"https://doi.org/10.15479/AT-ISTA-21854\">10.15479/AT-ISTA-21854</a>","chicago":"Iofinova, Eugenia B. “On the Utility and Effects of Efficiency in Artificial Neural Networks.” Institute of Science and Technology Austria, 2026. <a href=\"https://doi.org/10.15479/AT-ISTA-21854\">https://doi.org/10.15479/AT-ISTA-21854</a>.","ista":"Iofinova EB. 2026. On the utility and effects of efficiency in artificial neural networks. Institute of Science and Technology Austria.","mla":"Iofinova, Eugenia B. <i>On the Utility and Effects of Efficiency in Artificial Neural Networks</i>. Institute of Science and Technology Austria, 2026, doi:<a href=\"https://doi.org/10.15479/AT-ISTA-21854\">10.15479/AT-ISTA-21854</a>.","apa":"Iofinova, E. B. (2026). <i>On the utility and effects of efficiency in artificial neural networks</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT-ISTA-21854\">https://doi.org/10.15479/AT-ISTA-21854</a>"},"status":"public","project":[{"grant_number":"W1260-N35","name":"Vienna Graduate School on Computational Optimization","_id":"9B9290DE-BA93-11EA-9121-9846C619BF3A"}],"doi":"10.15479/AT-ISTA-21854","month":"05","abstract":[{"text":"As neural-network-based models grow both in size and popularity, interest has grown in making the models smaller and more efficient to train. To that end, many methods have been proposed to prune models by reducing their number of nonzero parameters. Additionally, parameter-efficient fine-tuning, in which a much smaller number of parameters than the total contained in the model is updated during training, has become very popular, especially in the space of Large Language Models. At the same time, the increasingly routine deployment of machine learning in real-world applications has spurred a drive to make them more trustworthy - in the sense of, among other things, being unbiased, interpretable, and editable. In this thesis, we examine the interplay between efficiency and trustworthiness.\r\n\r\nFirst, we analyze the effects of model pruning on bias in computer vision models, demonstrating that increased sparsity leads to greater bias, largely as a function of increased model uncertainty in marginal cases. Based on this observation, we propose several bias mitigation techniques. Then, we demonstrate that example-specific model pruning can improve model interpretation methods while improving pruning efficiency to make example-specific model pruning feasible in real time. Then, we investigate the effectiveness of parameter-efficient and data-efficient model personalization via fine-tuning, demonstrating that it is highly feasible with very small computational and data resources. Finally, we consider efficiency in editing model knowledge using a custom synthetic data framework, demonstrating that parameter-efficient, low-rank fine-tuning frequently outperforms full-rank fine-tuning, and, additionally, that restricting which model blocks are fine-tuned frequently improves results. Together, the results in this thesis provide new insights and techniques for combining trustworthiness and efficiency during neural network inference and training.\r\n\r\n","lang":"eng"}],"related_material":{"record":[{"relation":"part_of_dissertation","id":"14771","status":"public"},{"relation":"part_of_dissertation","id":"21858","status":"public"},{"status":"public","id":"21859","relation":"part_of_dissertation"},{"relation":"part_of_dissertation","status":"public","id":"21857"},{"id":"18121","status":"public","relation":"part_of_dissertation"}]},"das_tickbox":"1","oa_version":"Published Version","type":"dissertation","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","publisher_comment":"In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of ISTA's products or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to http://www.ieee.org/publications_standards/publications/rights/rights_link.html to learn how to obtain a License from RightsLink. If applicable, University Microfilms and/or ProQuest Library, or the Archives of Canada may supply single copies of the dissertation.","fulldoi":"https://doi.org/10.15479/AT-ISTA-21854","date_updated":"2026-10-01T09:32:47Z","publication_status":"published","has_accepted_license":"1","article_processing_charge":"No","department":[{"_id":"GradSch"},{"_id":"DaAl"}],"alternative_title":["ISTA Thesis"],"_id":"21854","date_created":"2026-05-11T08:43:22Z","page":"237","file_date_updated":"2026-05-13T13:10:48Z","publisher":"Institute of Science and Technology Austria","publication_identifier":{"issn":["2663-337X"]},"file":[{"relation":"source_file","creator":"eiofinov","access_level":"closed","file_id":"21856","checksum":"2e148dad920e3f9b7c32796e0ba2e5f7","file_size":28479571,"file_name":"EIofinova_thesis_FinalVersion.zip","date_created":"2026-05-11T08:36:01Z","date_updated":"2026-05-11T08:36:01Z","content_type":"application/zip"},{"file_size":18137757,"date_updated":"2026-05-13T13:10:48Z","file_name":"2026_Iofinova_Eugenia_Thesis.pdf","date_created":"2026-05-13T13:10:48Z","content_type":"application/pdf","checksum":"b10c2933f386f532b2dbf28b19c5525c","success":1,"creator":"eiofinov","relation":"main_file","access_level":"open_access","file_id":"21877"}],"doi_confirm":"1","title":"On the utility and effects of efficiency in artificial neural networks","author":[{"first_name":"Eugenia B","orcid":"0000-0002-7778-3221","full_name":"Iofinova, Eugenia B","last_name":"Iofinova","id":"f9a17499-f6e0-11ea-865d-fdf9a3f77117"}],"day":"11","degree_awarded":"PhD","acknowledgement":"The research in this Ph.D. was funded in whole\r\nor in part by the Austrian Science Fund (FWF) W1260-N35 (Vienna Graduate School for\r\nComputational Optimization). For open access purposes the author has applied a CC BY\r\npublic copyright license to any author accepted manuscript version arising from this submission\r\nwherever possible. Additionally, I am grateful to Alois Schlögl, Waleed Khalid, and the rest of\r\nthe ISTA Scientific Computing team for building and maintaining the infrastructure I used\r\nto run experiments. I’m also deeply grateful to the Alistarh group’s administrative assistant,\r\nChristine Francois, who always deals with our nonsense with common sense and a smile.\r\n","acknowledged_ssus":[{"_id":"ScienComp"}],"year":"2026","language":[{"iso":"eng"}],"corr_author":"1","OA_place":"publisher","supervisor":[{"id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","full_name":"Alistarh, Dan-Adrian","last_name":"Alistarh","orcid":"0000-0003-3650-940X","first_name":"Dan-Adrian"}],"oa":1},{"title":"Little red dots host black hole stars: A unified family of gas-reddened AGN revealed by JWST/NIRSpec spectroscopy","quality_controlled":"1","author":[{"last_name":"de Graaff","full_name":"de Graaff, Anna","first_name":"Anna"},{"last_name":"Hviding","full_name":"Hviding, Raphael E","first_name":"Raphael E"},{"first_name":"Rohan P","full_name":"Naidu, Rohan P","last_name":"Naidu"},{"first_name":"Jenny E","full_name":"Greene, Jenny E","last_name":"Greene"},{"first_name":"Tim B","last_name":"Miller","full_name":"Miller, Tim B"},{"full_name":"Leja, Joel","last_name":"Leja","first_name":"Joel"},{"full_name":"Matthee, Jorryt J","id":"7439a258-f3c0-11ec-9501-9df22fe06720","last_name":"Matthee","first_name":"Jorryt J","orcid":"0000-0003-2871-127X"},{"first_name":"Gabriel","full_name":"Brammer, Gabriel","last_name":"Brammer"},{"last_name":"Katz","full_name":"Katz, Harley","first_name":"Harley"},{"first_name":"Rachel","last_name":"Bezanson","full_name":"Bezanson, Rachel"},{"first_name":"Leindert A","last_name":"Boogaard","full_name":"Boogaard, Leindert A"},{"last_name":"Bose","full_name":"Bose, Sownak","first_name":"Sownak"},{"first_name":"John","full_name":"Chisholm, John","last_name":"Chisholm"},{"first_name":"Nikko J","full_name":"Cleri, Nikko J","last_name":"Cleri"},{"full_name":"Dayal, Pratika","last_name":"Dayal","first_name":"Pratika"},{"first_name":"Robert","last_name":"Feldmann","full_name":"Feldmann, Robert"},{"first_name":"Yoshinobu","full_name":"Fudamoto, Yoshinobu","last_name":"Fudamoto"},{"last_name":"Fujimoto","full_name":"Fujimoto, Seiji","first_name":"Seiji"},{"last_name":"Furtak","full_name":"Furtak, Lukas J","first_name":"Lukas J"},{"first_name":"Karl","full_name":"Glazebrook, Karl","last_name":"Glazebrook"},{"last_name":"Gottumukkala","full_name":"Gottumukkala, Rashmi","first_name":"Rashmi"},{"full_name":"Heintz, Kasper E","last_name":"Heintz","first_name":"Kasper E"},{"first_name":"Vasily","full_name":"Kokorev, Vasily","last_name":"Kokorev"},{"first_name":"Ivo","last_name":"Labbe","full_name":"Labbe, Ivo"},{"last_name":"Maseda","full_name":"Maseda, Michael V","first_name":"Michael V"},{"first_name":"Ian","full_name":"McConachie, Ian","last_name":"McConachie"},{"full_name":"Nanayakkara, Themiya","last_name":"Nanayakkara","first_name":"Themiya"},{"first_name":"Erica","full_name":"Nelson, Erica","last_name":"Nelson"},{"first_name":"Przemysław","full_name":"Nowaczyk, Przemysław","last_name":"Nowaczyk"},{"last_name":"Oesch","full_name":"Oesch, Pascal A","first_name":"Pascal A"},{"last_name":"Rix","full_name":"Rix, Hans-Walter","first_name":"Hans-Walter"},{"first_name":"David J","last_name":"Setton","full_name":"Setton, David J"},{"id":"018f0249-0e87-11f0-b167-cbce08fbd541","last_name":"Torralba Torregrosa","full_name":"Torralba Torregrosa, Alberto","orcid":"0000-0001-5586-6950","first_name":"Alberto"},{"full_name":"Walter, Fabian","last_name":"Walter","first_name":"Fabian"},{"first_name":"Bingjie","last_name":"Wang","full_name":"Wang, Bingjie"},{"first_name":"Andrea","full_name":"Weibel, Andrea","last_name":"Weibel"},{"first_name":"Arjen","last_name":"van der Wel","full_name":"van der Wel, Arjen"}],"article_type":"original","DOAJ_listed":"1","publication_identifier":{"eissn":["1365-2966"],"issn":["0035-8711"]},"publisher":"Oxford University Press","file":[{"relation":"main_file","creator":"dernst","file_id":"23026","access_level":"open_access","success":1,"checksum":"a82b93954671a12bb60d8d7a4a4d526b","file_size":14983705,"content_type":"application/pdf","date_created":"2026-10-01T11:25:20Z","file_name":"2026_MonthNoticesRAS_deGraaff.pdf","date_updated":"2026-10-01T11:25:20Z"}],"scopus_import":"1","supplementarymaterial":"yes","file_date_updated":"2026-10-01T11:25:20Z","_id":"22960","date_created":"2026-09-17T11:06:40Z","oa":1,"intvolume":"       551","year":"2026","OA_place":"publisher","language":[{"iso":"eng"}],"PlanS_conform":"1","acknowledgement":"AdG thanks Devesh Nandal for discussions on the properties\r\nof convective envelopes and Hayashi limit, and the students of\r\nthe I-HOW JWST Workshop (Barbora Adamcova, Biswaraj Palit,\r\nOlena Pastoven, and Weronika Puchalska) for their help in producing an early version of Figs 8 and 10. This work is based on\r\nobservations made with the NASA/ESA/CSA James Webb Space\r\nTelescope. The data were obtained from the Mikulski Archive for\r\nSpace Telescopes at the Space Telescope Science Institute, which\r\nis operated by the Association of Universities for Research in\r\nAstronomy, Inc., under NASA contract NAS 5-03127 for JWST.\r\nThese observations are associated with programs 1180, 1181,\r\n1208, 1212, 1213, 1215, 1286, 1345, 1433, 2198, 2561, 2750, 2767,\r\n4106, 4233, 5105, 5224, 6368, and 6585. Support for program no.\r\n4233 was provided by NASA through a grant from the Space\r\nTelescope Science Institute, which is operated by the Association\r\nof Universities for Research in Astronomy, Inc., under NASA\r\ncontract NAS 5-03127.\r\nAdG acknowledges support from a Clay Fellowship awarded by\r\nthe Smithsonian Astrophysical Observatory. REH acknowledges\r\nsupport by the German Aerospace Center (DLR) and the Federal\r\nMinistry for Economic Affairs and Energy (BMWi) through program 50OR2403 ‘RUBIES’. The Cosmic Dawn Centerisfunded by\r\nthe Danish National Research Foundation (DNRF) under grant\r\nno. 140. This work has received funding from the Swiss State\r\nSecretariat for Education, Research and Innovation (SERI) under\r\ncontract no. MB22.00072, as well as from the Swiss National Science Foundation (SNSF) through project grant 200020_207349.\r\nTBM was supported by a CIERA fellowship. PD warmly acknowledges support from an NSERC discovery grant (RGPIN-2025-\r\n06182). KG acknowledges support from Australian Research\r\nCouncil Laureate Fellowship FL180100060. LAB acknowledges\r\nsupport from the Dutch Research Council (NWO) under grant\r\nVI.Veni.242.055 (https://doi.org/10.61686/LAJVP77714) and the\r\nERC Consolidator grant 101088676 (‘VOYAJ’). YF is supported by\r\nJSPS KAKENHI grant nos JP22K21349 and JP23K13149.","arxiv":1,"day":"01","volume":551,"publication":"Monthly Notices of the Royal Astronomical Society","das_tickbox":"1","oa_version":"Published Version","external_id":{"arxiv":["2511.21820"]},"type":"journal_article","month":"09","abstract":[{"lang":"eng","text":"We construct and characterize a sample of 146 little red dots (LRDs) across 2.0<z<9.3, selecting all sources with v-shaped\r\nultraviolet (UV)–optical continua from James Webb Space Telescope (JWST) NIRSpec/PRISM spectra and compact morphologies in NIRCam/F444W imaging. We show that LRD continuum spectra are well described by modified blackbodies\r\nacross ∼ 0.4 − 1.0 µm, with typical T ∼ 5000 K (λpeak ∼ 0.65 µm) across 2 dex in luminosity, and a tail toward T ∼ 2000 K.\r\nLRDs therefore trace a locus in the Hertzsprung–Russell diagram that is analogous to stars on the Hayashi track, strongly\r\nsupporting the picture that LRDs are active galactic nucleus (AGN) embedded in optically thick dense gas envelopes.\r\nHotter LRDs with λpeak < 0.65 µm typically have strong Balmer breaks, redder UV slopes, and high optical luminosities;\r\nother LRDs show weak or no Balmer breaks, and wide variety in βUV and L5100. Crucially, we demonstrate that the UV–\r\noptical continua are strongly linked to the Hα, Hβ, [O iii], and O i line properties. There is a tight linear relation between\r\nthe Hα and optical continuum luminosities, as well as Hα and O i λ8446, indicating that Balmer, O i, and optical emission\r\nmust primarily be powered by the same source. The Balmer decrement increases strongly toward higher LHα, L5100, and\r\nBalmer break strength, providing key evidence for luminosity-dependent effects of collisional (de-)excitation and resonant\r\nscattering in the gaseous envelopes. In contrast, we show that [O iii] emission likely originates from star-forming host\r\ngalaxies, with strong variation in the AGN-to-host ratio among the LRD population. Our work presents an empirical\r\ndescription of the nature and structure of LRDs, defining a new benchmark for ongoing LRD model developments."}],"status":"public","doi":"10.1093/mnras/stag1567","dataavailabilitystatement":"All data used in this work are publicly available through the\r\nDAWN JWST Archive (https://dawn-cph.github.io/dja/index.h\r\ntml). The spectra used in this work are part of version 4.5 of the\r\nDJA (G. Brammer & F. Valentino 2025). We also release our complete LRD catalogue, together with all key measurements made All data used in this work are publicly available through the\r\nDAWN JWST Archive (https://dawn-cph.github.io/dja/index.h\r\ntml). The spectra used in this work are part of version 4.5 of the\r\nDJA (G. Brammer & F. Valentino 2025). We also release our complete LRD catalogue, together with all key measurements made in the modified blackbody fitting and emission-line fitting. The\r\ntable can be found at https://doi.org/10.5281/zenodo.21977747,\r\nand its contents are described in Appendix B.\r\n\r\n","OA_type":"gold","date_published":"2026-09-01T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png"},"citation":{"chicago":"de Graaff, Anna, Raphael E Hviding, Rohan P Naidu, Jenny E Greene, Tim B Miller, Joel Leja, Jorryt J Matthee, et al. “Little Red Dots Host Black Hole Stars: A Unified Family of Gas-Reddened AGN Revealed by JWST/NIRSpec Spectroscopy.” <i>Monthly Notices of the Royal Astronomical Society</i>. Oxford University Press, 2026. <a href=\"https://doi.org/10.1093/mnras/stag1567\">https://doi.org/10.1093/mnras/stag1567</a>.","ista":"de Graaff A, Hviding RE, Naidu RP, Greene JE, Miller TB, Leja J, Matthee JJ, Brammer G, Katz H, Bezanson R, Boogaard LA, Bose S, Chisholm J, Cleri NJ, Dayal P, Feldmann R, Fudamoto Y, Fujimoto S, Furtak LJ, Glazebrook K, Gottumukkala R, Heintz KE, Kokorev V, Labbe I, Maseda MV, McConachie I, Nanayakkara T, Nelson E, Nowaczyk P, Oesch PA, Rix H-W, Setton DJ, Torralba Torregrosa A, Walter F, Wang B, Weibel A, van der Wel A. 2026. Little red dots host black hole stars: A unified family of gas-reddened AGN revealed by JWST/NIRSpec spectroscopy. Monthly Notices of the Royal Astronomical Society. 551(3), stag1567.","ama":"de Graaff A, Hviding RE, Naidu RP, et al. Little red dots host black hole stars: A unified family of gas-reddened AGN revealed by JWST/NIRSpec spectroscopy. <i>Monthly Notices of the Royal Astronomical Society</i>. 2026;551(3). doi:<a href=\"https://doi.org/10.1093/mnras/stag1567\">10.1093/mnras/stag1567</a>","short":"A. de Graaff, R.E. Hviding, R.P. Naidu, J.E. Greene, T.B. Miller, J. Leja, J.J. Matthee, G. Brammer, H. Katz, R. Bezanson, L.A. Boogaard, S. Bose, J. Chisholm, N.J. Cleri, P. Dayal, R. Feldmann, Y. Fudamoto, S. Fujimoto, L.J. Furtak, K. Glazebrook, R. Gottumukkala, K.E. Heintz, V. Kokorev, I. Labbe, M.V. Maseda, I. McConachie, T. Nanayakkara, E. Nelson, P. Nowaczyk, P.A. Oesch, H.-W. Rix, D.J. Setton, A. Torralba Torregrosa, F. Walter, B. Wang, A. Weibel, A. van der Wel, Monthly Notices of the Royal Astronomical Society 551 (2026).","ieee":"A. de Graaff <i>et al.</i>, “Little red dots host black hole stars: A unified family of gas-reddened AGN revealed by JWST/NIRSpec spectroscopy,” <i>Monthly Notices of the Royal Astronomical Society</i>, vol. 551, no. 3. Oxford University Press, 2026.","apa":"de Graaff, A., Hviding, R. E., Naidu, R. P., Greene, J. E., Miller, T. B., Leja, J., … van der Wel, A. (2026). Little red dots host black hole stars: A unified family of gas-reddened AGN revealed by JWST/NIRSpec spectroscopy. <i>Monthly Notices of the Royal Astronomical Society</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/mnras/stag1567\">https://doi.org/10.1093/mnras/stag1567</a>","mla":"de Graaff, Anna, et al. “Little Red Dots Host Black Hole Stars: A Unified Family of Gas-Reddened AGN Revealed by JWST/NIRSpec Spectroscopy.” <i>Monthly Notices of the Royal Astronomical Society</i>, vol. 551, no. 3, stag1567, Oxford University Press, 2026, doi:<a href=\"https://doi.org/10.1093/mnras/stag1567\">10.1093/mnras/stag1567</a>."},"ddc":["520"],"article_processing_charge":"Yes","has_accepted_license":"1","department":[{"_id":"JoMa"}],"article_number":"stag1567","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","researchdata_availability":"yes","publication_status":"published","issue":"3","date_updated":"2026-10-01T11:31:16Z","fulldoi":"https://doi.org/10.1093/mnras/stag1567"},{"fulldoi":"https://doi.org/10.1103/m7gr-2t6j","date_updated":"2026-10-02T08:44:47Z","issue":"5","publication_status":"published","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"ScWa"},{"_id":"GradSch"}],"has_accepted_license":"1","article_processing_charge":"Yes (via OA deal)","article_number":"L053502","OA_type":"hybrid","doi":"10.1103/m7gr-2t6j","status":"public","citation":{"ieee":"V. L. Diaz Melian, I. C. Lenton, J. Binysh, A. Souslov, and S. R. Waitukaitis, “Geometry of the vapor layer under a Leidenfrost hydrogel sphere,” <i>Physical Review E</i>, vol. 113, no. 5. American Physical Society, 2026.","short":"V.L. Diaz Melian, I.C. Lenton, J. Binysh, A. Souslov, S.R. Waitukaitis, Physical Review E 113 (2026).","ama":"Diaz Melian VL, Lenton IC, Binysh J, Souslov A, Waitukaitis SR. Geometry of the vapor layer under a Leidenfrost hydrogel sphere. <i>Physical Review E</i>. 2026;113(5). doi:<a href=\"https://doi.org/10.1103/m7gr-2t6j\">10.1103/m7gr-2t6j</a>","ista":"Diaz Melian VL, Lenton IC, Binysh J, Souslov A, Waitukaitis SR. 2026. Geometry of the vapor layer under a Leidenfrost hydrogel sphere. Physical Review E. 113(5), L053502.","chicago":"Diaz Melian, Vicente L, Isaac C Lenton, Jack Binysh, Anton Souslov, and Scott R Waitukaitis. “Geometry of the Vapor Layer under a Leidenfrost Hydrogel Sphere.” <i>Physical Review E</i>. American Physical Society, 2026. <a href=\"https://doi.org/10.1103/m7gr-2t6j\">https://doi.org/10.1103/m7gr-2t6j</a>.","apa":"Diaz Melian, V. L., Lenton, I. C., Binysh, J., Souslov, A., &#38; Waitukaitis, S. R. (2026). Geometry of the vapor layer under a Leidenfrost hydrogel sphere. <i>Physical Review E</i>. American Physical Society. <a href=\"https://doi.org/10.1103/m7gr-2t6j\">https://doi.org/10.1103/m7gr-2t6j</a>","mla":"Diaz Melian, Vicente L., et al. “Geometry of the Vapor Layer under a Leidenfrost Hydrogel Sphere.” <i>Physical Review E</i>, vol. 113, no. 5, L053502, American Physical Society, 2026, doi:<a href=\"https://doi.org/10.1103/m7gr-2t6j\">10.1103/m7gr-2t6j</a>."},"ddc":["530"],"date_published":"2026-05-14T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png"},"external_id":{"arxiv":["2507.04982"]},"type":"journal_article","oa_version":"Published Version","abstract":[{"text":"A floating Leidenfrost droplet exhibits curvature inversion of its underside, due to the balance of vapor pressure and surface tension. Using interferometric imaging, we find different behavior for a levitated hydrogel sphere. Curvature inversion is observed briefly just after deposition, but quickly gives way to a steady state with no inversion. We show the essential role of vaporization in shaping the underbelly of the hydrogel, where changes due to direct mass loss are more significant than the balance of vapor pressure and elastic forces.","lang":"eng"}],"related_material":{"record":[{"status":"public","id":"23005","relation":"dissertation_contains"}]},"month":"05","arxiv":1,"day":"14","acknowledgement":"This research was supported by the Scientific Service Units of The Institute of Science and Technology Austria (ISTA) through resources provided by the Miba Machine Shop and the Scientific Computing Facility. J.B. acknowledges funding from the European Union's Horizon research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 101106500.","PlanS_conform":"1","publication":"Physical Review E","volume":113,"intvolume":"       113","oa":1,"language":[{"iso":"eng"}],"corr_author":"1","OA_place":"publisher","acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"ScienComp"}],"year":"2026","date_created":"2026-06-10T07:36:41Z","_id":"21982","file_date_updated":"2026-06-16T11:21:53Z","author":[{"first_name":"Vicente L","last_name":"Diaz Melian","full_name":"Diaz Melian, Vicente L","id":"b6798902-eea0-11ea-9cbc-a8e14286c631"},{"last_name":"Lenton","id":"a550210f-223c-11ec-8182-e2d45e817efb","full_name":"Lenton, Isaac C","orcid":"0000-0002-5010-6984","first_name":"Isaac C"},{"first_name":"Jack","full_name":"Binysh, Jack","last_name":"Binysh"},{"full_name":"Souslov, Anton","last_name":"Souslov","first_name":"Anton"},{"last_name":"Waitukaitis","id":"3A1FFC16-F248-11E8-B48F-1D18A9856A87","full_name":"Waitukaitis, Scott R","orcid":"0000-0002-2299-3176","first_name":"Scott R"}],"article_type":"letter_note","quality_controlled":"1","title":"Geometry of the vapor layer under a Leidenfrost hydrogel sphere","scopus_import":"1","file":[{"file_size":3173197,"content_type":"application/pdf","date_updated":"2026-06-16T11:21:53Z","file_name":"2026_PhysicalReviewE_DiazMelian.pdf","date_created":"2026-06-16T11:21:53Z","success":1,"checksum":"902cc8d177c8d3ae9cfe07c30375c9a9","creator":"dernst","relation":"main_file","file_id":"22014","access_level":"open_access"}],"publisher":"American Physical Society","publication_identifier":{"eissn":["2470-0053"],"issn":["2470-0045"]}},{"author":[{"first_name":"Vicente L","last_name":"Diaz Melian","id":"b6798902-eea0-11ea-9cbc-a8e14286c631","full_name":"Diaz Melian, Vicente L"}],"title":"The morphology underneath a levitated hydrogel sphere","doi_confirm":"1","file":[{"file_size":8463804,"date_created":"2026-09-29T09:22:27Z","date_updated":"2026-09-29T09:56:46Z","file_name":"2026_diaz-melian_vicente_Thesis.pdf","content_type":"application/pdf","checksum":"f339bdee0a6925573687de928ca525dc","relation":"main_file","creator":"vdiazmel","access_level":"open_access","file_id":"23007"},{"file_size":4028974886,"date_updated":"2026-09-29T09:56:46Z","file_name":"2026_diaz-melian_vicente_Thesis.zip","date_created":"2026-09-29T09:49:32Z","content_type":"application/zip","relation":"source_file","creator":"vdiazmel","access_level":"closed","file_id":"23008","checksum":"5b17122895fc419bfb620e23bfe7780a"}],"publisher":"Institute of Science and Technology Austria","publication_identifier":{"issn":["2663-337X"]},"supplementarymaterial":"yes","_id":"23005","date_created":"2026-09-28T17:40:23Z","page":"114","file_date_updated":"2026-09-29T09:56:46Z","oa":1,"supervisor":[{"first_name":"Scott R","orcid":"0000-0002-2299-3176","last_name":"Waitukaitis","id":"3A1FFC16-F248-11E8-B48F-1D18A9856A87","full_name":"Waitukaitis, Scott R"}],"language":[{"iso":"eng"}],"corr_author":"1","OA_place":"publisher","acknowledged_ssus":[{"_id":"M-Shop"}],"year":"2026","day":"29","degree_awarded":"PhD","type":"dissertation","oa_version":"Published Version","related_material":{"record":[{"status":"public","id":"14514","relation":"part_of_dissertation"},{"status":"public","id":"21982","relation":"part_of_dissertation"}]},"abstract":[{"text":"When a Leidenfrost droplet floats on its own vapor layer, the interplay between vapor pressure, surface tension, and gravity determines its shape, and in the stable regime the underside of the droplet exhibits curvature inversion. Using interferometric imaging, we observe a different behavior for a levitated hydrogel sphere. Curvature inversion appears briefly after deposition, but the continuous vaporization process removes this feature, leading first to an oscillatory regime and eventually to a steady state without curvature inversion. We demonstrate the essential role of vaporization in shaping the hydrogel underbelly, where direct mass loss has a stronger influence than the balance between vapor pressure and elastic forces.","lang":"eng"}],"month":"09","doi":"10.15479/AT-ISTA-23005","status":"public","ddc":["530","530","530"],"citation":{"mla":"Diaz Melian, Vicente L. <i>The Morphology underneath a Levitated Hydrogel Sphere</i>. Institute of Science and Technology Austria, 2026, doi:<a href=\"https://doi.org/10.15479/AT-ISTA-23005\">10.15479/AT-ISTA-23005</a>.","apa":"Diaz Melian, V. L. (2026). <i>The morphology underneath a levitated hydrogel sphere</i>. 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","degree_awarded":"PhD"},{"publication":"Journal of Nonlinear Science","volume":36,"PlanS_conform":"1","acknowledgement":"The authors are grateful to Boris Khesin for valuable comments on the MW symplectic structure and S. Ishida thanks Albert Chern for insightful discussions on space curves and Chris Wojtan for his continuous support. M. Bauer was partially supported by NSF grant DMS-1953244 and by the Binational Science Foundation (BSF). S. Ishida was partially supported by ERC Consolidator Grant 101045083 “CoDiNA” funded by the European Research Council. Some figures were generated by the software Houdini and its education license was provided by SideFX. Open access funding provided by University of Vienna.","arxiv":1,"day":"15","year":"2026","OA_place":"publisher","language":[{"iso":"eng"}],"oa":1,"intvolume":"        36","file_date_updated":"2026-04-28T09:55:32Z","_id":"21743","date_created":"2026-04-16T07:29:17Z","publication_identifier":{"issn":["0938-8974"],"eissn":["1432-1467"]},"publisher":"Springer Nature","file":[{"checksum":"760de2631b6fd7d57bcd5115ed36c0a2","success":1,"creator":"dernst","relation":"main_file","access_level":"open_access","file_id":"21770","file_size":1108518,"date_created":"2026-04-28T09:55:32Z","date_updated":"2026-04-28T09:55:32Z","file_name":"2026_JourNonlinearScience_Bauer.pdf","content_type":"application/pdf"}],"scopus_import":"1","title":"Symplectic structures on the space of space curves","quality_controlled":"1","author":[{"first_name":"Martin","full_name":"Bauer, Martin","last_name":"Bauer"},{"id":"6F7C4B96-A8E9-11E9-A7CA-09ECE5697425","last_name":"Ishida","full_name":"Ishida, Sadashige","orcid":"0000-0002-3121-3100","first_name":"Sadashige"},{"last_name":"Michor","full_name":"Michor, Peter W.","first_name":"Peter W."}],"article_type":"original","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication_status":"published","issue":"2","fulldoi":"https://doi.org/10.1007/s00332-026-10266-8","date_updated":"2026-10-02T11:16:45Z","article_number":"45","article_processing_charge":"Yes (via OA deal)","has_accepted_license":"1","department":[{"_id":"GradSch"},{"_id":"ChWo"}],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png"},"date_published":"2026-04-15T00:00:00Z","citation":{"apa":"Bauer, M., Ishida, S., &#38; Michor, P. W. (2026). Symplectic structures on the space of space curves. <i>Journal of Nonlinear Science</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s00332-026-10266-8\">https://doi.org/10.1007/s00332-026-10266-8</a>","mla":"Bauer, Martin, et al. “Symplectic Structures on the Space of Space Curves.” <i>Journal of Nonlinear Science</i>, vol. 36, no. 2, 45, Springer Nature, 2026, doi:<a href=\"https://doi.org/10.1007/s00332-026-10266-8\">10.1007/s00332-026-10266-8</a>.","chicago":"Bauer, Martin, Sadashige Ishida, and Peter W. Michor. “Symplectic Structures on the Space of Space Curves.” <i>Journal of Nonlinear Science</i>. Springer Nature, 2026. <a href=\"https://doi.org/10.1007/s00332-026-10266-8\">https://doi.org/10.1007/s00332-026-10266-8</a>.","ista":"Bauer M, Ishida S, Michor PW. 2026. Symplectic structures on the space of space curves. Journal of Nonlinear Science. 36(2), 45.","ama":"Bauer M, Ishida S, Michor PW. Symplectic structures on the space of space curves. <i>Journal of Nonlinear Science</i>. 2026;36(2). doi:<a href=\"https://doi.org/10.1007/s00332-026-10266-8\">10.1007/s00332-026-10266-8</a>","ieee":"M. Bauer, S. Ishida, and P. W. Michor, “Symplectic structures on the space of space curves,” <i>Journal of Nonlinear Science</i>, vol. 36, no. 2. Springer Nature, 2026.","short":"M. Bauer, S. Ishida, P.W. Michor, Journal of Nonlinear Science 36 (2026)."},"ddc":["510"],"project":[{"_id":"34bc2376-11ca-11ed-8bc3-9a3b3961a088","grant_number":"101045083","name":"Computational Discovery of Numerical Algorithms for Animation and Simulation of Natural Phenomena"}],"status":"public","doi":"10.1007/s00332-026-10266-8","OA_type":"hybrid","month":"04","abstract":[{"lang":"eng","text":"We present symplectic structures on the shape space of unparameterized space curves that generalize the classical Marsden–Weinstein structure. Our method integrates the Liouville 1-form of the Marsden–Weinstein structure with Riemannian structures that have been introduced in mathematical shape analysis. We also derive Hamiltonian vector fields for several classical Hamiltonian functions with respect to these new symplectic structures."}],"related_material":{"record":[{"id":"17361","status":"public","relation":"earlier_version"}]},"oa_version":"Published Version","external_id":{"arxiv":["2407.19908"]},"type":"journal_article"},{"corr_author":"1","OA_place":"publisher","language":[{"iso":"eng"}],"year":"2026","intvolume":"        26","oa":1,"publication":"Foundations of Computational Mathematics","volume":26,"acknowledgement":"The authors would like to thank Chris Wojtan for his continuous support and several interesting discussions. Part of this research was performed during two visits: one of SI to the BIDSA research center at Bocconi University, and one of HL to the Institute of Science and Technology Austria. Both host institutions are warmly acknowledged for the hospitality. HL is partially supported by the MUR-Prin 2022-202244A7YL “Gradient Flows and Non-Smooth Geometric Structures with Applications to Optimization and Machine Learning”, funded by the European Union - Next Generation EU. SI is supported in part by ERC Consolidator Grant 101045083 “CoDiNA” funded by the European Research Council. Open access funding provided by Institute of Science and Technology (IST Austria).","arxiv":1,"day":"01","PlanS_conform":"1","file":[{"date_updated":"2026-07-23T05:37:52Z","file_name":"2026_FoundCompMath_Ishida.pdf","date_created":"2026-07-23T05:37:52Z","content_type":"application/pdf","file_size":1240012,"access_level":"open_access","file_id":"22384","creator":"dernst","relation":"main_file","checksum":"30671f88e792e8b75ae3e698ac4c131c","success":1}],"scopus_import":"1","publication_identifier":{"eissn":["1615-3383"],"issn":["1615-3375"]},"publisher":"Springer Nature","author":[{"orcid":"0000-0002-3121-3100","first_name":"Sadashige","id":"6F7C4B96-A8E9-11E9-A7CA-09ECE5697425","full_name":"Ishida, Sadashige","last_name":"Ishida"},{"last_name":"Lavenant","full_name":"Lavenant, Hugo","first_name":"Hugo"}],"article_type":"original","title":"Quantitative convergence of a discretization of dynamic optimal transport using the dual formulation","quality_controlled":"1","file_date_updated":"2026-07-23T05:37:52Z","page":"349-384","_id":"14703","date_created":"2023-12-21T10:14:37Z","supplementarymaterial":"no","department":[{"_id":"GradSch"},{"_id":"ChWo"}],"article_processing_charge":"Yes (via OA deal)","has_accepted_license":"1","publication_status":"published","fulldoi":"https://doi.org/10.1007/s10208-024-09686-3","date_updated":"2026-10-02T11:17:26Z","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","researchdata_availability":"no","keyword":["Optimal transport","Hamilton-Jacobi equation","convex optimization"],"abstract":[{"lang":"eng","text":"We present a discretization of the dynamic optimal transport problem for which we can obtain the convergence rate for the value of the transport cost to its continuous value when the temporal and spatial stepsize vanish. This convergence result does not require any regularity assumption on the measures, though experiments suggest that the rate is not sharp. Via an analysis of the duality gap we also obtain the convergence rates for the gradient of the optimal potentials and the velocity field under mild regularity assumptions. To obtain such rates we discretize the dual formulation of the dynamic optimal transport problem and use the mature literature related to the error due to discretizing the Hamilton-Jacobi equation."}],"month":"02","type":"journal_article","external_id":{"isi":["001352503300001"],"arxiv":["2312.12213"]},"das_tickbox":"0","oa_version":"Published Version","ddc":["000"],"citation":{"apa":"Ishida, S., &#38; Lavenant, H. (2026). Quantitative convergence of a discretization of dynamic optimal transport using the dual formulation. <i>Foundations of Computational Mathematics</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s10208-024-09686-3\">https://doi.org/10.1007/s10208-024-09686-3</a>","mla":"Ishida, Sadashige, and Hugo Lavenant. “Quantitative Convergence of a Discretization of Dynamic Optimal Transport Using the Dual Formulation.” <i>Foundations of Computational Mathematics</i>, vol. 26, Springer Nature, 2026, pp. 349–84, doi:<a href=\"https://doi.org/10.1007/s10208-024-09686-3\">10.1007/s10208-024-09686-3</a>.","ieee":"S. Ishida and H. Lavenant, “Quantitative convergence of a discretization of dynamic optimal transport using the dual formulation,” <i>Foundations of Computational Mathematics</i>, vol. 26. Springer Nature, pp. 349–384, 2026.","short":"S. Ishida, H. Lavenant, Foundations of Computational Mathematics 26 (2026) 349–384.","chicago":"Ishida, Sadashige, and Hugo Lavenant. “Quantitative Convergence of a Discretization of Dynamic Optimal Transport Using the Dual Formulation.” <i>Foundations of Computational Mathematics</i>. Springer Nature, 2026. <a href=\"https://doi.org/10.1007/s10208-024-09686-3\">https://doi.org/10.1007/s10208-024-09686-3</a>.","ista":"Ishida S, Lavenant H. 2026. Quantitative convergence of a discretization of dynamic optimal transport using the dual formulation. Foundations of Computational Mathematics. 26, 349–384.","ama":"Ishida S, Lavenant H. Quantitative convergence of a discretization of dynamic optimal transport using the dual formulation. <i>Foundations of Computational Mathematics</i>. 2026;26:349-384. doi:<a href=\"https://doi.org/10.1007/s10208-024-09686-3\">10.1007/s10208-024-09686-3</a>"},"date_published":"2026-02-01T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png"},"isi":1,"doi":"10.1007/s10208-024-09686-3","OA_type":"hybrid","project":[{"_id":"34bc2376-11ca-11ed-8bc3-9a3b3961a088","grant_number":"101045083","name":"Computational Discovery of Numerical Algorithms for Animation and Simulation of Natural Phenomena"}],"status":"public"},{"month":"03","related_material":{"record":[{"id":"17146","status":"public","relation":"earlier_version"}]},"abstract":[{"lang":"eng","text":"The Upper Bound Theorem for convex polytopes implies that the p-th Betti number of the Čech complex of any set of N points in ℝ^d and any radius satisfies β_p = O(N^m), with m = min{p+1, ⌈d/2⌉}. We construct sets in even and odd dimensions, which prove that this upper bound is asymptotically tight. For example, we describe a set of N = 2(n+1) points in ℝ³ and two radii such that the first Betti number of the Čech complex at one radius is (n+1)² - 1, and the second Betti number of the Čech complex at the other radius is n². "}],"oa_version":"Published Version","das_tickbox":"0","external_id":{"isi":["001610592600001"],"arxiv":["2310.14801"]},"type":"journal_article","date_published":"2026-03-01T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png"},"citation":{"short":"H. Edelsbrunner, J. Pach, Discrete &#38; Computational Geometry 75 (2026) 597–624.","ieee":"H. Edelsbrunner and J. Pach, “Maximum Betti numbers of Čech complexes,” <i>Discrete &#38; Computational Geometry</i>, vol. 75. 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Based on the persistent homology for images, kernels and cokernels, we design provably stable homological quantifiers that describe the geometric micro- and macro-structure of how the color classes mingle. 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It lays the foundation for subsequent developmental events, including gastrulation, germ layer specification, organogenesis, and the establishment of the overall body plan. Two major modes of cleavage exist in the animal kingdom: holoblastic (complete) and meroblastic (incomplete) cleavage. Because holoblastic cleavage resembles canonical cytokinesis, its biochemical and mechanical basis has been extensively studied — an annular contractile ring forms at the equator and constricts in a purse-string-like manner, leading to the complete separation of two daughter cells. In contrast, although meroblastic cleavage occurs widely across the animal kingdom (e.g. in fish, reptiles, birds, and cephalopod molluscs), its mechanical basis remains largely unclear. During meroblastic cleavage, the cytokinetic furrow forms only at one pole and does not traverse the entire embryo, raising the question of how cytokinesis proceeds in the absence of a closed contractile ring. Moreover, the resulting daughter cells are not fully separated from the underlying yolk compartment, and how these blastomeres are subsequently cellularised remains unknown. This thesis takes the zebrafish as a model organism to address both questions. The first part characterises the biochemical and mechanical mechanisms underlying non-canonical meroblastic cleavage, revealing a two-phase process in which actomyosin cable contraction and cadherin-mediated membrane adhesion act sequentially to drive furrow ingression and invagination. 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(2026). Towards a deeper understanding of meroblastic cleavage - supplementary movies. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT-ISTA-22777\">https://doi.org/10.15479/AT-ISTA-22777</a>","mla":"Tong, Xin. <i>Towards a Deeper Understanding of Meroblastic Cleavage - Supplementary Movies</i>. Institute of Science and Technology Austria, 2026, doi:<a href=\"https://doi.org/10.15479/AT-ISTA-22777\">10.15479/AT-ISTA-22777</a>.","ista":"Tong X. 2026. Towards a deeper understanding of meroblastic cleavage - supplementary movies, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT-ISTA-22777\">10.15479/AT-ISTA-22777</a>.","chicago":"Tong, Xin. “Towards a Deeper Understanding of Meroblastic Cleavage - Supplementary Movies.” Institute of Science and Technology Austria, 2026. <a href=\"https://doi.org/10.15479/AT-ISTA-22777\">https://doi.org/10.15479/AT-ISTA-22777</a>.","ama":"Tong X. Towards a deeper understanding of meroblastic cleavage - supplementary movies. 2026. doi:<a href=\"https://doi.org/10.15479/AT-ISTA-22777\">10.15479/AT-ISTA-22777</a>","ieee":"X. Tong, “Towards a deeper understanding of meroblastic cleavage - supplementary movies.” Institute of Science and Technology Austria, 2026.","short":"X. Tong, (2026)."},"has_accepted_license":"1","article_processing_charge":"No","department":[{"_id":"GradSch"},{"_id":"CaHe"}],"user_id":"68b8ca59-c5b3-11ee-8790-cd641c68093d","ec_funded":1,"fulldoi":"https://doi.org/10.15479/AT-ISTA-22777","date_updated":"2026-10-05T08:56:09Z"},{"scopus_import":"1","file":[{"access_level":"open_access","file_id":"23061","creator":"dernst","relation":"main_file","checksum":"f3fa2d7a10b75b74290d7a9a68a3d367","success":1,"date_created":"2026-10-06T10:44:15Z","date_updated":"2026-10-06T10:44:15Z","file_name":"2026_AstrophysicalJour_Tiede.pdf","content_type":"application/pdf","file_size":5621643}],"publisher":"IOP Publishing","publication_identifier":{"eissn":["1538-4357"],"issn":["0004-637X"]},"author":[{"first_name":"Christopher","full_name":"Tiede, Christopher","last_name":"Tiede"},{"first_name":"David W","full_name":"O'Neill, David W","id":"3fc12674-2d69-11f1-a6bf-b826b45a1150","last_name":"O'Neill"},{"full_name":"D’Orazio, Daniel J.","last_name":"D’Orazio","first_name":"Daniel J."}],"DOAJ_listed":"1","article_type":"original","quality_controlled":"1","title":"Dynamics and detectability of long-lived nonaccretion phases for massive Black Hole binaries in cold thermally regulating disks","_id":"22964","date_created":"2026-09-20T22:01:48Z","file_date_updated":"2026-10-06T10:44:15Z","supplementarymaterial":"yes","language":[{"iso":"eng"}],"OA_place":"publisher","year":"2026","intvolume":"      1008","oa":1,"publication":"The Astrophysical Journal","volume":1008,"day":"01","arxiv":1,"acknowledgement":"This work was supported by the European Union’s Horizon 2023 research and innovation program under Marie Sklodowska-Curie grant agreement No. 101148364, and by Sapere Aude Starting grant No. 121587 through the Danish Independent Research Fund. It was additionally supported by NSF AAG No. 2511544. CT acknowledges many helpful conversations on binary accretion at the workshop Climbing Cosmic Peaks through the Sexten Center for Astrophysics Riccardo Giacconi. In particular, we thank Zoltan Haiman and Massimo Dotti for discussions on optical time-domain searches; Andrew MacFadyen, Alessia Franchini, Magdalena Siwek, and Mark Avara for conversations on binary accretion dynamics; Alessandra De Rosa for an insightful question on ionizing emission; and Jessie Runnoe for slope-side discussions on AGN broad-line regions. C.T. additionally thanks Jonathan Zrake for helpful comments on this manuscript and the anonymous reviewer for an engaging and insightful report. This work was conceived of, performed, and written by humans: C.T., D.O.N., D.J.D. Computation time was supported through the Tycho supercomputer hosted at the SCIENCE HPC center at the University of Copenhagen.\r\nSoftware: Sailfish (J. Zrake & A. MacFadyen 2024), numpy (C. R. Harris et al. 2020), scipy (P. Virtanen et al. 2020), matplotlib (J. D. Hunter 2007), cmasher (E. van der Velden 2020).","PlanS_conform":"1","abstract":[{"lang":"eng","text":"We investigate whether the nonaccreting phases found in thin, locally isothermal circumbinary disks survive when the disk thermodynamics are evolved self-consistently. We present grid-based hydrodynamics simulations of circumbinary accretion with an energy equation that includes viscous and hydrodynamic heating coupled to radiative blackbody cooling in the high-Mach number regime. We find that, although gas accumulates and heats at the far edge of the circumbinary cavity, the regions that launch accretion streams remain comparatively cold, leading to potentially long-lived suppression of the binary accretion rate as the large-scale feeding rate is reduced towards the Eddington limit. This runaway nonaccretion problem, however, is weakened relative to locally isothermal solutions. Despite their low accretion rates, binaries interacting with disks in a nonaccreting phase can remain sufficiently luminous and variable at optical and near-infrared frequencies to be detectable in upcoming wide-field surveys such as LSST and the Roman Space Telescope. Because of the effective truncation of the surrounding disk, though, such systems are comparatively faint in high energy, photoionizing emission, and may therefore appear as intrinsically X-ray–weak active galactic nuclei with weak or absent emission line features. We additionally suggest an update to grid-based sink prescriptions for approximating mass loss across an unresolved horizon when including an energy conservation equation."}],"month":"09","type":"journal_article","external_id":{"arxiv":["2606.04082"]},"oa_version":"Published Version","das_tickbox":"0","citation":{"ieee":"C. Tiede, D. W. O’Neill, and D. J. D’Orazio, “Dynamics and detectability of long-lived nonaccretion phases for massive Black Hole binaries in cold thermally regulating disks,” <i>The Astrophysical Journal</i>, vol. 1008, no. 1. IOP Publishing, 2026.","short":"C. Tiede, D.W. O’Neill, D.J. D’Orazio, The Astrophysical Journal 1008 (2026).","ama":"Tiede C, O’Neill DW, D’Orazio DJ. Dynamics and detectability of long-lived nonaccretion phases for massive Black Hole binaries in cold thermally regulating disks. <i>The Astrophysical Journal</i>. 2026;1008(1). doi:<a href=\"https://doi.org/10.3847/1538-4357/ae914e\">10.3847/1538-4357/ae914e</a>","ista":"Tiede C, O’Neill DW, D’Orazio DJ. 2026. Dynamics and detectability of long-lived nonaccretion phases for massive Black Hole binaries in cold thermally regulating disks. The Astrophysical Journal. 1008(1), 26.","chicago":"Tiede, Christopher, David W O’Neill, and Daniel J. D’Orazio. “Dynamics and Detectability of Long-Lived Nonaccretion Phases for Massive Black Hole Binaries in Cold Thermally Regulating Disks.” <i>The Astrophysical Journal</i>. IOP Publishing, 2026. <a href=\"https://doi.org/10.3847/1538-4357/ae914e\">https://doi.org/10.3847/1538-4357/ae914e</a>.","apa":"Tiede, C., O’Neill, D. W., &#38; D’Orazio, D. J. (2026). Dynamics and detectability of long-lived nonaccretion phases for massive Black Hole binaries in cold thermally regulating disks. <i>The Astrophysical Journal</i>. IOP Publishing. <a href=\"https://doi.org/10.3847/1538-4357/ae914e\">https://doi.org/10.3847/1538-4357/ae914e</a>","mla":"Tiede, Christopher, et al. “Dynamics and Detectability of Long-Lived Nonaccretion Phases for Massive Black Hole Binaries in Cold Thermally Regulating Disks.” <i>The Astrophysical Journal</i>, vol. 1008, no. 1, 26, IOP Publishing, 2026, doi:<a href=\"https://doi.org/10.3847/1538-4357/ae914e\">10.3847/1538-4357/ae914e</a>."},"ddc":["520"],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png"},"date_published":"2026-09-01T00:00:00Z","OA_type":"gold","doi":"10.3847/1538-4357/ae914e","status":"public","article_number":"26","department":[{"_id":"ZoHa"}],"has_accepted_license":"1","article_processing_charge":"Yes","date_updated":"2026-10-06T10:45:07Z","fulldoi":"https://doi.org/10.3847/1538-4357/ae914e","issue":"1","publication_status":"published","researchdata_availability":"no","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"das_tickbox":"1","oa_version":"None","type":"journal_article","month":"08","abstract":[{"text":"Manganese-based aqueous zinc-ion batteries (AZIBs) have emerged as promising candidates for large-scale energy storage owing to their low cost, intrinsic safety, and the abundance of constituent elements. However, their practical deployment is still restricted by severe capacity fading caused by Jahn–Teller-induced structural instability and sluggish Zn2+ transport in the cathode. Although surface coating, heteroatom doping, and structural regulation have been widely explored to improve Mn-based cathodes, these approaches may suffer from increased interfacial resistance, compositional complexity, or limited control over the intrinsic electronic structure. In this context, oxygen-vacancy engineering offers a more direct route to modulate local coordination environments and accelerate Zn2+/H+ storage kinetics. Herein, lattice-level defect engineering of a dense Mn2O3 host is achieved through a metal–organic framework-derived synthesis followed by mild secondary annealing. The introduced oxygen vacancies regulate the local electronic structure and coordination environment, thereby facilitating Zn2+ diffusion, accelerating charge-transfer kinetics, and improving electrochemical reversibility. Combined experimental and theoretical investigations further show that oxygen-vacancy engineering enhances electronic conductivity, reduces the Zn2+ migration barrier, and enables a reversible dual-ion storage mechanism involving both H+ and Zn2+. Benefiting from these effects, the Zn‖Vo-Mn2O3 battery delivers a high specific capacity of 359 mAh g−1 at 0.3 A g−1, maintains 210 mAh g−1 at 6 A g−1, and retains 74.3% of its capacity after 10 000 cycles at 12 A g−1 after only 150 s of initial preconditioning. This work highlights oxygen-vacancy engineering as an effective route to enhancing the kinetic and structural stability of Mn-based cathodes for advanced AZIBs.","lang":"eng"}],"status":"public","dataavailabilitystatement":"The data that support the findings of this study are available within the manuscript and the corresponding supplementary information (SI). Data are available upon request from the authors. Supplementary information is available. See DOI: https://doi.org/10.1039/d6ta05844b.","OA_type":"closed access","doi":"10.1039/d6ta05844b","date_published":"2026-08-31T00:00:00Z","citation":{"ieee":"A. Yu <i>et al.</i>, “Lattice-level defect engineering of dense Mn2O3 hosts unlocks fast H+/Zn2+ storage and long-life aqueous zinc-ion batteries,” <i>Journal of Materials Chemistry A</i>. Royal Society of Chemistry, 2026.","short":"A. Yu, X. Chang, X. Lu, R. He, L. Yang, J. Chai, X. Bi, J. Chacón-Borrero, K.V. Mejia-Centeno, J. Llorca, E. Villalobos-Portillo, Q. Liu, J. Shang, A. Cabot, Journal of Materials Chemistry A (2026).","ista":"Yu A, Chang X, Lu X, He R, Yang L, Chai J, Bi X, Chacón-Borrero J, Mejia-Centeno KV, Llorca J, Villalobos-Portillo E, Liu Q, Shang J, Cabot A. 2026. Lattice-level defect engineering of dense Mn2O3 hosts unlocks fast H+/Zn2+ storage and long-life aqueous zinc-ion batteries. Journal of Materials Chemistry A.","chicago":"Yu, Ao, Xingqi Chang, Xuan Lu, Ren He, Linlin Yang, Jiali Chai, Xiaoyu Bi, et al. “Lattice-Level Defect Engineering of Dense Mn2O3 Hosts Unlocks Fast H+/Zn2+ Storage and Long-Life Aqueous Zinc-Ion Batteries.” <i>Journal of Materials Chemistry A</i>. Royal Society of Chemistry, 2026. <a href=\"https://doi.org/10.1039/d6ta05844b\">https://doi.org/10.1039/d6ta05844b</a>.","ama":"Yu A, Chang X, Lu X, et al. Lattice-level defect engineering of dense Mn2O3 hosts unlocks fast H+/Zn2+ storage and long-life aqueous zinc-ion batteries. <i>Journal of Materials Chemistry A</i>. 2026. doi:<a href=\"https://doi.org/10.1039/d6ta05844b\">10.1039/d6ta05844b</a>","apa":"Yu, A., Chang, X., Lu, X., He, R., Yang, L., Chai, J., … Cabot, A. (2026). Lattice-level defect engineering of dense Mn2O3 hosts unlocks fast H+/Zn2+ storage and long-life aqueous zinc-ion batteries. <i>Journal of Materials Chemistry A</i>. Royal Society of Chemistry. <a href=\"https://doi.org/10.1039/d6ta05844b\">https://doi.org/10.1039/d6ta05844b</a>","mla":"Yu, Ao, et al. “Lattice-Level Defect Engineering of Dense Mn2O3 Hosts Unlocks Fast H+/Zn2+ Storage and Long-Life Aqueous Zinc-Ion Batteries.” <i>Journal of Materials Chemistry A</i>, Royal Society of Chemistry, 2026, doi:<a href=\"https://doi.org/10.1039/d6ta05844b\">10.1039/d6ta05844b</a>."},"article_processing_charge":"No","department":[{"_id":"MaIb"}],"researchdata_availability":"no","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_updated":"2026-10-06T10:34:27Z","fulldoi":"https://doi.org/10.1039/d6ta05844b","publication_status":"epub_ahead","quality_controlled":"1","title":"Lattice-level defect engineering of dense Mn2O3 hosts unlocks fast H+/Zn2+ storage and long-life aqueous zinc-ion batteries","author":[{"first_name":"Ao","full_name":"Yu, Ao","last_name":"Yu"},{"first_name":"Xingqi","full_name":"Chang, Xingqi","last_name":"Chang"},{"last_name":"Lu","full_name":"Lu, Xuan","first_name":"Xuan"},{"id":"366c4efa-f61c-11f0-808b-d12a4547ac69","full_name":"He, Ren","last_name":"He","first_name":"Ren"},{"full_name":"Yang, Linlin","last_name":"Yang","first_name":"Linlin"},{"last_name":"Chai","full_name":"Chai, Jiali","first_name":"Jiali"},{"first_name":"Xiaoyu","full_name":"Bi, Xiaoyu","last_name":"Bi"},{"full_name":"Chacón-Borrero, Jesús","last_name":"Chacón-Borrero","first_name":"Jesús"},{"full_name":"Mejia-Centeno, Karol V.","last_name":"Mejia-Centeno","first_name":"Karol V."},{"last_name":"Llorca","full_name":"Llorca, Jordi","first_name":"Jordi"},{"full_name":"Villalobos-Portillo, Eduardo","last_name":"Villalobos-Portillo","first_name":"Eduardo"},{"full_name":"Liu, Qirong","last_name":"Liu","first_name":"Qirong"},{"last_name":"Shang","full_name":"Shang, Jian","first_name":"Jian"},{"full_name":"Cabot, Andreu","last_name":"Cabot","first_name":"Andreu"}],"article_type":"original","publisher":"Royal Society of Chemistry","publication_identifier":{"issn":["2050-7488"],"eissn":["2050-7496"]},"scopus_import":"1","supplementarymaterial":"yes","date_created":"2026-09-20T22:01:48Z","_id":"22965","year":"2026","language":[{"iso":"eng"}],"day":"31","acknowledgement":"Ao Y. acknowledges financial support from the China Scholarship Council (No. 202208320041), the National Natural Science Foundation of China (No. 22475231), and the Shenzhen Science and Technology Planning Project (No. KJZD20230923115227054). The XAS experiments were performed in collaboration with ALBA staff at the NOTOS beamline of ALBA Synchrotron (experiment ID: 2024028418), Barcelona, Spain. JL is a Serra Húnter Fellow and is grateful to the Academia Excellence program (Generalitat de Catalunya) and to the project PID2024-156765OB-C21 funded by MICIU/AEI/10.13039/501100011033 and the European Regional Development Fund (FEDER), and to the María de Maeztu Units of Excellence Programme CEX2023-001300 M, funded by MCIN/AEI/10.13039/501100011033.","publication":"Journal of Materials Chemistry A"},{"title":"Alkali ions retained from synthesis govern microstructure and transport in solution-processed SnSe","quality_controlled":"1","author":[{"last_name":"Fiedler","full_name":"Fiedler, Christine","id":"bd3fceba-dc74-11ea-a0a7-c17f71817366","first_name":"Christine"},{"last_name":"Horta","full_name":"Horta, Sharona","id":"03a7e858-01b1-11ec-8b71-99ae6c4a05bc","first_name":"Sharona"},{"orcid":"0000-0001-7408-8197","first_name":"Navita","id":"6ebe278d-ba0b-11ee-8184-f34cdc671de4","full_name":"Navita, Navita","last_name":"Navita"},{"id":"76bc9e9f-ba0b-11ee-8184-90edabd17a58","full_name":"Maji, Krishnendu","last_name":"Maji","first_name":"Krishnendu"},{"full_name":"Kleinhanns, Tobias","id":"8BD9DE16-AB3C-11E9-9C8C-2A03E6697425","last_name":"Kleinhanns","orcid":"0000-0003-1537-7436","first_name":"Tobias"},{"last_name":"Llorca","full_name":"Llorca, Jordi","first_name":"Jordi"},{"first_name":"Qi","full_name":"Wang, Qi","last_name":"Wang","id":"0d37923a-aca1-11ef-951f-fd411b71d5f0"},{"first_name":"Maria Garcia","full_name":"Ramon, Maria Garcia","last_name":"Ramon","id":"1ffff7cd-ed76-11ed-8d5f-be5e7c364eb9"},{"first_name":"Sambit","full_name":"Das, Sambit","last_name":"Das"},{"first_name":"Vikram","last_name":"Gavini","full_name":"Gavini, Vikram"},{"orcid":"0000-0001-7313-6740","first_name":"Yu","id":"2A70014E-F248-11E8-B48F-1D18A9856A87","last_name":"Liu","full_name":"Liu, Yu"},{"full_name":"Ibáñez, Maria","last_name":"Ibáñez","id":"43C61214-F248-11E8-B48F-1D18A9856A87","first_name":"Maria","orcid":"0000-0001-5013-2843"}],"article_type":"original","publication_identifier":{"issn":["0897-4756"],"eissn":["1520-5002"]},"publisher":"American Chemical Society","file":[{"file_id":"23063","access_level":"open_access","creator":"dernst","relation":"main_file","success":1,"checksum":"15e7866ca4fd57f5526737945651a6f2","content_type":"application/pdf","date_created":"2026-10-06T12:11:04Z","date_updated":"2026-10-06T12:11:04Z","file_name":"2026_ChemistryMaterials_Fiedler.pdf","file_size":7461570}],"scopus_import":"1","supplementarymaterial":"yes","file_date_updated":"2026-10-06T12:11:04Z","_id":"22967","page":"9323–9332","date_created":"2026-09-21T10:33:48Z","oa":1,"intvolume":"        38","acknowledged_ssus":[{"_id":"EM-Fac"},{"_id":"NanoFab"}],"year":"2026","OA_place":"publisher","corr_author":"1","language":[{"iso":"eng"}],"PlanS_conform":"1","acknowledgement":"ISTA and the Werner Siemens Foundation financially supported this work. The Scientific Service Units (SSU) of ISTA supported this research through resources provided by the Electron Microscopy Facility (EMF), Juan Aguilera Servin from the Nanofabrication facility (NNF). Special acknowledgments to the Ibá\r\nez group for their fruitful discussions and insights. K.M. acknowledges the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 101034413 and PETRAIII at DESY for the synchrotron X-ray measurements under proposal No. I-20241048 EC. JL is a Serra Húnter Fellow and is grateful to the Academia Excellence program (Generalitat de Catalunya), project PID2024-156765OB-C21 funded by MICIU/AEI/10.13039/501100011033 and the European Regional Development Fund (FEDER), and María de Maeztu Units of Excellence Programme CEX2023-001300 M, funded by MCIN/AEI 10.13039/501100011033. VG and SD acknowledge the use of resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. Y.L. acknowledges funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 754411, the National Natural Science Foundation of China (NSFC) (Grants No. 22209034).","day":"22","volume":38,"publication":"Chemistry of Materials","das_tickbox":"0","oa_version":"Published Version","type":"journal_article","external_id":{"pmid":["42787739"]},"month":"09","abstract":[{"lang":"eng","text":"Alkali salts are widely used in solution processing, yet the corresponding cations are often assumed to remain in the liquid phase. Here, we show that alkali ions introduced during the solution synthesis of SnSe are retained through particle isolation and continue to influence the material during subsequent thermal processing, where they shape the evolution of the final polycrystalline material. Different SnSe powders were prepared using Li+, Na+, and K+ precursors, as well as tetramethylammonium (TMA+) precursors as a nonalkali reference for comparison, and all samples were consolidated under identical conditions. Although all three alkali ions were found in the matrix, at grain boundaries, and in segregated nanoscale regions, they partitioned differently and resulted in distinct grain sizes, defect distributions, and therefore transport properties. Li induced the strongest grain size heterogeneity and the lowest energy barriers, Na the best overall balance between carrier concentration and mobility, and K the broadest alkali-rich grain boundary regions along with the strongest interfacial penalty to charge carrier transport. These results show that residual alkali ions are not just remnants of solution synthesis but active determinants of microstructure and thermoelectric performance in SnSe."}],"status":"public","project":[{"name":"HighTE: The Werner Siemens Laboratory for the High Throughput Discovery of Semiconductors for Waste Heat Recovery","_id":"9B8F7476-BA93-11EA-9121-9846C619BF3A"},{"name":"IST-BRIDGE: International postdoctoral program","grant_number":"101034413","_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c","call_identifier":"H2020"},{"_id":"260C2330-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"754411","name":"ISTplus - Postdoctoral Fellowships"}],"doi":"10.1021/acs.chemmater.6c01284","OA_type":"hybrid","date_published":"2026-09-22T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png"},"citation":{"ista":"Fiedler C, Horta S, Jakhar N, Maji K, Kleinhanns T, Llorca J, Wang Q, Ramon MG, Das S, Gavini V, Liu Y, Ibáñez M. 2026. Alkali ions retained from synthesis govern microstructure and transport in solution-processed SnSe. Chemistry of Materials. 38(18), 9323–9332.","chicago":"Fiedler, Christine, Sharona Horta, Navita Jakhar, Krishnendu Maji, Tobias Kleinhanns, Jordi Llorca, Qi Wang, et al. “Alkali Ions Retained from Synthesis Govern Microstructure and Transport in Solution-Processed SnSe.” <i>Chemistry of Materials</i>. American Chemical Society, 2026. <a href=\"https://doi.org/10.1021/acs.chemmater.6c01284\">https://doi.org/10.1021/acs.chemmater.6c01284</a>.","ama":"Fiedler C, Horta S, Jakhar N, et al. Alkali ions retained from synthesis govern microstructure and transport in solution-processed SnSe. <i>Chemistry of Materials</i>. 2026;38(18):9323–9332. doi:<a href=\"https://doi.org/10.1021/acs.chemmater.6c01284\">10.1021/acs.chemmater.6c01284</a>","ieee":"C. Fiedler <i>et al.</i>, “Alkali ions retained from synthesis govern microstructure and transport in solution-processed SnSe,” <i>Chemistry of Materials</i>, vol. 38, no. 18. American Chemical Society, pp. 9323–9332, 2026.","short":"C. Fiedler, S. Horta, N. Jakhar, K. Maji, T. Kleinhanns, J. Llorca, Q. Wang, M.G. Ramon, S. Das, V. Gavini, Y. Liu, M. Ibáñez, Chemistry of Materials 38 (2026) 9323–9332.","mla":"Fiedler, Christine, et al. “Alkali Ions Retained from Synthesis Govern Microstructure and Transport in Solution-Processed SnSe.” <i>Chemistry of Materials</i>, vol. 38, no. 18, American Chemical Society, 2026, pp. 9323–9332, doi:<a href=\"https://doi.org/10.1021/acs.chemmater.6c01284\">10.1021/acs.chemmater.6c01284</a>.","apa":"Fiedler, C., Horta, S., Jakhar, N., Maji, K., Kleinhanns, T., Llorca, J., … Ibáñez, M. (2026). Alkali ions retained from synthesis govern microstructure and transport in solution-processed SnSe. <i>Chemistry of Materials</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acs.chemmater.6c01284\">https://doi.org/10.1021/acs.chemmater.6c01284</a>"},"ddc":["540"],"article_processing_charge":"Yes (via OA deal)","has_accepted_license":"1","department":[{"_id":"MaIb"},{"_id":"GradSch"},{"_id":"NanoFab"}],"pmid":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","ec_funded":1,"researchdata_availability":"no","issue":"18","publication_status":"published","fulldoi":"https://doi.org/10.1021/acs.chemmater.6c01284","date_updated":"2026-10-06T12:16:03Z"},{"publication_status":"published","issue":"1","date_updated":"2026-10-06T12:50:50Z","fulldoi":"https://doi.org/10.1093/bioadv/vbag231","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","researchdata_availability":"no","article_number":"vbag231","pmid":1,"department":[{"_id":"MaRo"}],"article_processing_charge":"Yes","has_accepted_license":"1","citation":{"ista":"Krätschmer I, Smith HM, McCartney DL, Bernabeu E, Mahmoudi M, Campbell A, Corley J, Harris SE, Cox SR, Marioni RE, Robinson MR. 2026. MAJA: Multivariate Bayesian model for discovery of shared epigenetic pathways across human phenotypes. Bioinformatics Advances. 6(1), vbag231.","ama":"Krätschmer I, Smith HM, McCartney DL, et al. MAJA: Multivariate Bayesian model for discovery of shared epigenetic pathways across human phenotypes. <i>Bioinformatics Advances</i>. 2026;6(1). doi:<a href=\"https://doi.org/10.1093/bioadv/vbag231\">10.1093/bioadv/vbag231</a>","chicago":"Krätschmer, Ilse, Hannah M Smith, Daniel L McCartney, Elena Bernabeu, Mahdi Mahmoudi, Archie Campbell, Janie Corley, et al. “MAJA: Multivariate Bayesian Model for Discovery of Shared Epigenetic Pathways across Human Phenotypes.” <i>Bioinformatics Advances</i>. Oxford University Press, 2026. <a href=\"https://doi.org/10.1093/bioadv/vbag231\">https://doi.org/10.1093/bioadv/vbag231</a>.","short":"I. Krätschmer, H.M. Smith, D.L. McCartney, E. Bernabeu, M. Mahmoudi, A. Campbell, J. Corley, S.E. Harris, S.R. Cox, R.E. Marioni, M.R. Robinson, Bioinformatics Advances 6 (2026).","ieee":"I. Krätschmer <i>et al.</i>, “MAJA: Multivariate Bayesian model for discovery of shared epigenetic pathways across human phenotypes,” <i>Bioinformatics Advances</i>, vol. 6, no. 1. Oxford University Press, 2026.","apa":"Krätschmer, I., Smith, H. M., McCartney, D. L., Bernabeu, E., Mahmoudi, M., Campbell, A., … Robinson, M. R. (2026). MAJA: Multivariate Bayesian model for discovery of shared epigenetic pathways across human phenotypes. <i>Bioinformatics Advances</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/bioadv/vbag231\">https://doi.org/10.1093/bioadv/vbag231</a>","mla":"Krätschmer, Ilse, et al. “MAJA: Multivariate Bayesian Model for Discovery of Shared Epigenetic Pathways across Human Phenotypes.” <i>Bioinformatics Advances</i>, vol. 6, no. 1, vbag231, Oxford University Press, 2026, doi:<a href=\"https://doi.org/10.1093/bioadv/vbag231\">10.1093/bioadv/vbag231</a>."},"ddc":["570"],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png"},"date_published":"2026-09-01T00:00:00Z","dataavailabilitystatement":"Access to the data is available with appropriate permission from the Generation Scotland Access Committee. Applications should be made to access@generationscotland.org. https://www.ed.ac.uk/lothian-birth-cohorts/data-access-collaboration gives information on the Lothian Birth Cohort data, which are available on request from the Lothian Birth Cohort Study, University of Edinburgh. Data from both cohorts are not publicly available as they contain information that could compromise participant consent and confidentiality.\r\n\r\nSource code is available at https://github.com/medical-genomics-group/MAJA.","OA_type":"gold","doi":"10.1093/bioadv/vbag231","status":"public","abstract":[{"text":"Genomic measurements of DNA methylation, gene expression or protein levels are becoming more prevalent and are increasingly used to study health outcomes. However, most proposed association testing methods consider only marginal effects of each feature on a single outcome variable and are not set up to handle highly correlated, continuous data. Here, we introduce MAJA, a method to learn shared and outcome-specific effects for multiple traits in multi-omics data. MAJA determines the unique contribution of individual loci, genes, or molecular pathways to variation in one or more traits, conditional on all other measured “omics” data genome-wide. Simulations show MAJA accurately finds shared and distinct associations between omics-data and multiple traits and estimates omics-specific (co)variances, allowing for sparsity and correlations within the data. Applying MAJA to 12 outcome traits in Generation Scotland methylation data (n = 18 264), we find novel shared epigenetic probes among cholesterol metabolism, osteoarthritis, blood pressure and asthma. In contrast to marginal testing, we find only 10 CpG probes with significant effects above the genome-wide background. This highlights the need for joint association testing in highly correlated methylation data from whole blood and for studies of increased sample size in order to refine epigenomic associations in observational data.","lang":"eng"}],"month":"09","type":"journal_article","external_id":{"pmid":["42761413"]},"oa_version":"Published Version","das_tickbox":"1","publication":"Bioinformatics Advances","volume":6,"acknowledgement":"We thank members of the Medical Genomics group at ISTA for their comments, which improved this manuscript. This work was funded by an SNSF Eccellenza Grant to MRR [PCEGP3-181181], and by core funding from the Institute of Science and Technology Austria. We would like to acknowledge the participants and investigators of the Generation Scotland and Lothian Birth Cohort studies. Generation Scotland received core support from the Chief Scientist Office of the Scottish Government Health Directorates [CZD/16/6] and the Scottish Funding Council [HR03006]. Genotyping and methylation typing of the GS: SFHS samples was carried out by the Genetics Core Laboratory at the Wellcome Trust Clinical Research Facility, Edinburgh, Scotland and was funded by the Medical Research Council UK and the Wellcome Trust (Wellcome Trust Strategic Award “STratifying Resilience and Depression Longitudinally” (STRADL) Reference 104036/Z/14/Z]. DNA methylation data for Generation Scotland was also funded by a 2018 NARSAD Young Investigator Grant from the Brain and Behavior Research Foundation [Ref: 27404; awardee: Dr David M Howard] and by a John, Margaret, Alfred and Stewart Sim Fellowship from the Royal College of Physicians of Edinburgh (Awardee: Dr Heather C Whalley). The LBC1936 is supported by the Biotechnology and Biological Sciences Research Council, and the Economic and Social Research Council [BB/W008793/1] (which supports SEH, and JC), Age UK (Disconnected Mind project), the Milton Damerel Trust, the Medical Research Council [G0701120, G1001245, MR/M013111/1, MR/R024065/1] and the University of Edinburgh. Methylation typing of LBC1936 was supported by the Centre for Cognitive Ageing and Cognitive Epidemiology (Pilot Fund award), Age UK, The Wellcome Trust Institutional Strategic Support Fund, The University of Edinburgh, and The University of Queensland. HS is supported by funding from the Wellcome Trust 4-year PhD in Translational Neuroscience [218493/Z/19/Z]. SRC is also supported by a Sir Henry Dale Fellowship jointly funded by Wellcome and the Royal Society [221890/Z/20/Z]. High-performance computing was supported by the Scientific Service Units (SSU) of IST Austria through resources provided by Scientific Computing (SciComp).","day":"01","PlanS_conform":"1","OA_place":"publisher","corr_author":"1","language":[{"iso":"eng"}],"acknowledged_ssus":[{"_id":"ScienComp"}],"year":"2026","intvolume":"         6","oa":1,"file_date_updated":"2026-10-06T12:49:18Z","date_created":"2026-09-22T05:41:01Z","_id":"22972","supplementarymaterial":"yes","file":[{"content_type":"application/pdf","date_created":"2026-10-06T12:49:18Z","file_name":"2026_BioinformaticsAdvances_Kraetschmer.pdf","date_updated":"2026-10-06T12:49:18Z","file_size":1370368,"file_id":"23064","access_level":"open_access","relation":"main_file","creator":"dernst","success":1,"checksum":"86849f1b88c47d050be4aa0a40105a97"}],"scopus_import":"1","publication_identifier":{"eissn":["2635-0041"]},"publisher":"Oxford University Press","author":[{"orcid":"0000-0002-5636-9259","first_name":"Ilse","last_name":"Krätschmer","id":"30d4014e-7753-11eb-b44b-db6d61112e73","full_name":"Krätschmer, Ilse"},{"last_name":"Smith","full_name":"Smith, Hannah M","first_name":"Hannah M"},{"first_name":"Daniel L","last_name":"McCartney","full_name":"McCartney, Daniel L"},{"last_name":"Bernabeu","full_name":"Bernabeu, Elena","first_name":"Elena"},{"full_name":"Mahmoudi, Mahdi","last_name":"Mahmoudi","first_name":"Mahdi"},{"first_name":"Archie","last_name":"Campbell","full_name":"Campbell, Archie"},{"last_name":"Corley","full_name":"Corley, Janie","first_name":"Janie"},{"last_name":"Harris","full_name":"Harris, Sarah E","first_name":"Sarah E"},{"last_name":"Cox","full_name":"Cox, Simon R","first_name":"Simon R"},{"last_name":"Marioni","full_name":"Marioni, Riccardo E","first_name":"Riccardo E"},{"full_name":"Robinson, Matthew Richard","id":"E5D42276-F5DA-11E9-8E24-6303E6697425","last_name":"Robinson","orcid":"0000-0001-8982-8813","first_name":"Matthew Richard"}],"article_type":"original","DOAJ_listed":"1","title":"MAJA: Multivariate Bayesian model for discovery of shared epigenetic pathways across human phenotypes","quality_controlled":"1"}]