M. Boyce, AdamMartínez-Pañeda, EmilioWade, AaronZhang, YeshuiBailey, Josh J.Heenan, Thomas M.M.Brett, DanShearing, Paul2022-10-052022-10-052022-04-01M. 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.2022.2311190378-7753ORCID: /0000-0003-0095-3015/work/117063208ORCID: /0000-0003-0095-3015/work/108709671ORCID: /0000-0003-0095-3015/work/108476919https://hdl.handle.net/2164/19281Acknowledgements 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.1412135713engSDG 7 - Affordable and Clean EnergyLithium-ion batteryImage-based modelPhase fieldFractureElectrodeMicrostructureTP Chemical technologyQC PhysicsEngineering and Physical Sciences Research Council (EPSRC)EP/S003053/1TPQCJournal article10.1016/j.jpowsour.2022.231119http://www.scopus.com/inward/record.url?eid=2-s2.0-85125688762&partnerID=MN8TOARS526