dc.contributor.author | Dubarry, M. | |
dc.contributor.author | Costa Cortéz, Nahuel Alejandro | |
dc.contributor.author | Matthews, D. | |
dc.date.accessioned | 2023-10-25T08:55:30Z | |
dc.date.available | 2023-10-25T08:55:30Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Nature Communications, 14(1) (2023); doi:10.1038/s41467-023-38895-7 | |
dc.identifier.issn | 2041-1723 | |
dc.identifier.uri | https://hdl.handle.net/10651/70009 | |
dc.description.sponsorship | This research was funded by the Office of Naval Research (ONR), grant numbers N00014-19-1-2159 and N00014-22-1-2045. Nahuel Costa has been partially supported by the Ministry of Economy, Industry and Competitiveness (Ministerio de Economía, Industria y Competitividad) from Spain/FEDER under grant PID2020-112726-RB-I00 and by Principado de Asturias, grant SV-PA-21-AYUD/2021/50994. | |
dc.language.iso | eng | |
dc.relation.ispartof | Nature Communications | |
dc.rights | © The Author(s) 2023 | |
dc.rights | CC Reconocimiento 4.0 Internacional | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.source | Scopus | |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160605482&doi=10.1038%2fs41467-023-38895-7&partnerID=40&md5=f8baaef6e751b065539cd9701a5ee3b8 | |
dc.title | Data-driven direct diagnosis of li-ion batteries connected to photovoltaics | |
dc.type | journal article | |
dc.identifier.doi | 10.1038/s41467-023-38895-7 | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-112726RB-I00/ES/INTELIGENCIA COMPUTACIONAL PARA LA MITIGACION DE EMISIONES: NUEVAS METODOLOGIAS DE APRENDIZAJE CON DATOS INCOMPLETOS/ | |
dc.relation.projectID | SV-PA-21-AYUD/2021/50994 | |
dc.relation.publisherversion | http://dx.doi.org/10.1038/s41467-023-38895-7 | |
dc.rights.accessRights | open access | |
dc.type.hasVersion | VoR | |