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Cracking predictions of lithium-ion battery electrodes by X-ray computed tomography and modelling

dc.contributor.authorM. Boyce, Adam
dc.contributor.authorMartínez-Pañeda, Emilio
dc.contributor.authorWade, Aaron
dc.contributor.authorZhang, Yeshui
dc.contributor.authorBailey, Josh J.
dc.contributor.authorHeenan, Thomas M.M.
dc.contributor.authorBrett, Dan
dc.contributor.authorShearing, Paul
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.date.accessioned2022-10-05T10:44:01Z
dc.date.available2022-10-05T10:44:01Z
dc.date.issued2022-04-01
dc.descriptionAcknowledgements This work was carried out with funding from the Faraday Institution [EP/S003053/1, grant numbers FIRG015, FIRG024 and FIRG025]. PRS would like to acknowledge the Royal Academy of Engineering [CiET1718\59] for financial support.en
dc.description.statusPeer revieweden
dc.format.extent14
dc.format.extent12135713
dc.identifier213601583
dc.identifier3d8cd047-5b26-46d3-a5dd-bdbda1898ce0
dc.identifier85124848830
dc.identifier85125688762
dc.identifier.citationM. Boyce, A, Martínez-Pañeda, E, Wade, A, Zhang, Y, Bailey, J J, Heenan, T M M, Brett, D & Shearing, P 2022, 'Cracking predictions of lithium-ion battery electrodes by X-ray computed tomography and modelling', Journal of Power Sources, vol. 526, 231119. https://doi.org/10.1016/j.jpowsour.2022.231119en
dc.identifier.doi10.1016/j.jpowsour.2022.231119
dc.identifier.issn0378-7753
dc.identifier.otherORCID: /0000-0003-0095-3015/work/117063208
dc.identifier.otherORCID: /0000-0003-0095-3015/work/108709671
dc.identifier.otherORCID: /0000-0003-0095-3015/work/108476919
dc.identifier.urihttps://hdl.handle.net/2164/19281
dc.identifier.urlhttp://www.scopus.com/inward/record.url?eid=2-s2.0-85125688762&partnerID=MN8TOARSen
dc.identifier.vol526en
dc.language.isoeng
dc.relation.ispartofJournal of Power Sourcesen
dc.subjectSDG 7 - Affordable and Clean Energyen
dc.subjectLithium-ion batteryen
dc.subjectImage-based modelen
dc.subjectPhase fielden
dc.subjectFractureen
dc.subjectElectrodeen
dc.subjectMicrostructureen
dc.subjectTP Chemical technologyen
dc.subjectQC Physicsen
dc.subjectEngineering and Physical Sciences Research Council (EPSRC)en
dc.subjectEP/S003053/1en
dc.subject.lccTPen
dc.subject.lccQCen
dc.titleCracking predictions of lithium-ion battery electrodes by X-ray computed tomography and modellingen
dc.typeJournal articleen

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