Artificial Intelligence Applied to Battery Research: Hype or Reality?
Teo LombardoLaboratoire de Réactivité et Chimie des Solides (LRCS), UMR CNRS 7314, Université de Picardie Jules Verne, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, FranceMarc DuquesnoyLaboratoire de Réactivité et Chimie des Solides (LRCS), UMR CNRS 7314, Université de Picardie Jules Verne, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, FranceHassna El-BouysidyALISTORE-European Research Institute, FR CNRS 3104, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, FranceFabian ÅrénALISTORE-European Research Institute, FR CNRS 3104, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, FranceA. Gallo‐BuenoALISTORE-European Research Institute, FR CNRS 3104, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, FrancePeter Bjørn JørgensenALISTORE-European Research Institute, FR CNRS 3104, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, FranceArghya BhowmikALISTORE-European Research Institute, FR CNRS 3104, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, FranceArnaud DemortièreALISTORE-European Research Institute, FR CNRS 3104, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, FranceElixabete AyerbeALISTORE-European Research Institute, FR CNRS 3104, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, FranceFrancisco AlcaideALISTORE-European Research Institute, FR CNRS 3104, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, FranceMarine ReynaudALISTORE-European Research Institute, FR CNRS 3104, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, FranceJavier CarrascoALISTORE-European Research Institute, FR CNRS 3104, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, FranceAlexis GrimaudALISTORE-European Research Institute, FR CNRS 3104, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, FranceChao ZhangALISTORE-European Research Institute, FR CNRS 3104, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, FranceTejs VeggeALISTORE-European Research Institute, FR CNRS 3104, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, FrancePatrik JohanssonALISTORE-European Research Institute, FR CNRS 3104, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, FranceAlejandro A. FrancoALISTORE-European Research Institute, FR CNRS 3104, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, France
2021en
ABI
Abstract
This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily understandable, review of general interest to the battery community. It addresses the concepts, approaches, tools, outcomes, and challenges of using AI/ML as an accelerator for the design and optimization of the next generation of batteries─a current hot topic. It intends to create both accessibility of these tools to the chemistry and electrochemical energy sciences communities and completeness in terms of the different battery R&D aspects covered.
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Cited by 20 references