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dc.contributor.authorCerqueira, Tiago F. T.
dc.contributor.authorFang, Yue-Wen
dc.contributor.authorErrea Lope, Ion ORCID
dc.contributor.authorSanna, Antonio
dc.contributor.authorMarques, Miguel A. L.
dc.date.accessioned2024-07-09T08:54:04Z
dc.date.available2024-07-09T08:54:04Z
dc.date.issued2024-06-19
dc.identifier.citationAdvanced Functional Materials : (2024) // Article ID 2404043es_ES
dc.identifier.issn1616-301X
dc.identifier.issn1616-3028
dc.identifier.urihttp://hdl.handle.net/10810/68853
dc.description.abstractA machine-learning-assisted approach is employed to search for superconducting hydrides under ambient pressure within an extensive dataset comprising over 150 000 compounds. The investigation yields ≈50 systems with transition temperatures surpassing 20 K, and some even reaching above 70 K. These compounds have very different crystal structures, with different dimensionality, chemical composition, stoichiometry, and arrangement of the hydrogens. Interestingly, most of these systems display slight thermodynamic instability, implying that their synthesis will re quire conditions beyond ambient equilibrium. Moreover, a consistent chemical composition is found in the majority of these systems, which combines alkali or alkali-earth elements with noble metals. This observation suggests a promising avenue for future experimental investigations into high-temperature superconductivity within hydrides at ambient pressure.es_ES
dc.description.sponsorshipT.F.T.C. acknowledges financial support from FCT - Fundação para a Ciência e Tecnologia, I.P. through the projects UIDB/04564/2020, UIDP/04564/2020 and CEECINST/00152/2018/CP1570/CT0006, with DOI identifiers 10.54499/UIDB/04564/2020, 10.54499/UIDP/04564/2020, and 10.54499/CEECINST/00152/2018/CP1570/CT0006, respectively. Computational resources provided by UC-LCA, funded by FCT I.P. under the project Advanced Computing Project 2022.15822.CPCA. M.A.L.M. acknowledges partial funding from Horizon Europe MSCA Doctoral network grant n.101073486, EUSpecLab, funded by the European Union, and from the Keele Foundation through the SuperC collaboration. Y.-W.F. and I.E. received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant Agreement No. 802533) and acknowledge PRACE for awarding access to the EuroHPC supercomputer LUMI located in CSC's data center in Kajaani, Finland through EuroHPC Joint Undertaking (EHPC-REG-2022R03-090). I.E. also acknowledges funding from the Spanish Ministry of Science and Innovation (Grant No. PID2022-142861NA-I00) and the Department of Education, Universities and Research of the Basque Government and the University of the Basque Country (Grant No. IT1527-22). The authors acknowledge enlightening discussions with the partners of the SuperC collaboration.es_ES
dc.language.isoenges_ES
dc.publisherWileyes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/802533es_ES
dc.relationinfo:eu-repo/grantAgreement/MCIN/PID2022-142861NA-I00es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleSearching Materials Space for Hydride Superconductors at Ambient Pressurees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2024 The Author(s) published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License,es_ES
dc.relation.publisherversionhttps://doi.org/10.1002/adfm.202404043es_ES
dc.identifier.doi10.1002/adfm.202404043
dc.contributor.funderEuropean Commission
dc.departamentoesFísica aplicada Ies_ES
dc.departamentoeuFisika aplikatua Ies_ES


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© 2024 The Author(s) published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License,
Except where otherwise noted, this item's license is described as © 2024 The Author(s) published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License,