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dc.contributor.authorSanna, Antonio
dc.contributor.authorCerqueira, Tiago F. T.
dc.contributor.authorFang, Yue-Wen
dc.contributor.authorErrea Lope, Ion ORCID
dc.contributor.authorLudwig, Alfred
dc.contributor.authorMarques, Miguel A. L.
dc.date.accessioned2024-03-22T18:06:51Z
dc.date.available2024-03-22T18:06:51Z
dc.date.issued2024-02-28
dc.identifier.citationnpj Computational Materials 10 : (2024) // Article ID 44es_ES
dc.identifier.issn2057-3960
dc.identifier.urihttp://hdl.handle.net/10810/66298
dc.description.abstractThe primary challenge in the field of high-temperature superconductivity in hydrides is to achieve a superconducting state at ambient pressure rather than the extreme pressures that have been required in experiments so far. Here, we propose a family of compounds, of composition Mg2XH6 with X = Rh, Ir, Pd, or Pt, that achieves this goal. These materials were identified by scrutinizing more than a million compounds using a machine-learning accelerated high-throughput workflow. We predict that their superconducting transition temperatures are in the range of 45–80 K, or even above 100 K with appropriate electron doping of the Pt compound. These results indicate that, although very rare, high-temperature superconductivity in hydrides is achievable at room pressure.es_ES
dc.description.sponsorshipT.F.T.C acknowledges financial support from FCT - Fundação para a Ciência e Tecnologia, Portugal (projects UIDB/04564/2020 and 2022.09975.PTDC) and the Laboratory for Advanced Computing at University of Coimbra for providing HPC resources that have contributed to the research results reported within this paper. 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. 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).es_ES
dc.language.isoenges_ES
dc.publisherNature Researches_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/4.0/.*
dc.titlePrediction of ambient pressure conventional superconductivity above 80 K in hydride compoundses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.es_ES
dc.relation.publisherversionhttps://www.nature.com/articles/s41524-024-01214-9es_ES
dc.identifier.doi10.1038/s41524-024-01214-9
dc.contributor.funderEuropean Commission
dc.departamentoesFísica aplicada Ies_ES
dc.departamentoeuFisika aplikatua Ies_ES


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© The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
Except where otherwise noted, this item's license is described as © The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.