dc.creatorLeiva, Ezequiel Pedro M.
dc.date.accessioned2021-10-04T22:32:12Z
dc.date.accessioned2022-10-14T21:30:24Z
dc.date.available2021-10-04T22:32:12Z
dc.date.available2022-10-14T21:30:24Z
dc.date.created2021-10-04T22:32:12Z
dc.date.issued2020-09
dc.identifierLeiva, Ezequiel Pedro M.; Modeling of lithium-ion batteries is becoming viral: Where to go?; Springer; Journal of Solid State Electrochemistry (print); 24; 9; 9-2020; 2117-2120
dc.identifier1432-8488
dc.identifierhttp://hdl.handle.net/11336/142577
dc.identifier1433-0768
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4308879
dc.description.abstractWe briefly summarize the most popular theoretical/computational techniques being used to model lithium-ion batteries and suggest some future tasks/challenges in the area.
dc.languageeng
dc.publisherSpringer
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s10008-020-04703-1
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs10008-020-04703-1
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectLithium ion battery
dc.subjectSmulation
dc.titleModeling of lithium-ion batteries is becoming viral: Where to go?
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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