Artificial Intelligence Applied to Battery Research: Hype or Reality?

[Image: see text] 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 con...

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Autores principales: Lombardo, Teo, Duquesnoy, Marc, El-Bouysidy, Hassna, Årén, Fabian, Gallo-Bueno, Alfonso, Jørgensen, Peter Bjørn, Bhowmik, Arghya, Demortière, Arnaud, Ayerbe, Elixabete, Alcaide, Francisco, Reynaud, Marine, Carrasco, Javier, Grimaud, Alexis, Zhang, Chao, Vegge, Tejs, Johansson, Patrik, Franco, Alejandro A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227745/
https://www.ncbi.nlm.nih.gov/pubmed/34529918
http://dx.doi.org/10.1021/acs.chemrev.1c00108
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author Lombardo, Teo
Duquesnoy, Marc
El-Bouysidy, Hassna
Årén, Fabian
Gallo-Bueno, Alfonso
Jørgensen, Peter Bjørn
Bhowmik, Arghya
Demortière, Arnaud
Ayerbe, Elixabete
Alcaide, Francisco
Reynaud, Marine
Carrasco, Javier
Grimaud, Alexis
Zhang, Chao
Vegge, Tejs
Johansson, Patrik
Franco, Alejandro A.
author_facet Lombardo, Teo
Duquesnoy, Marc
El-Bouysidy, Hassna
Årén, Fabian
Gallo-Bueno, Alfonso
Jørgensen, Peter Bjørn
Bhowmik, Arghya
Demortière, Arnaud
Ayerbe, Elixabete
Alcaide, Francisco
Reynaud, Marine
Carrasco, Javier
Grimaud, Alexis
Zhang, Chao
Vegge, Tejs
Johansson, Patrik
Franco, Alejandro A.
author_sort Lombardo, Teo
collection PubMed
description [Image: see text] 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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spelling pubmed-92277452022-06-25 Artificial Intelligence Applied to Battery Research: Hype or Reality? Lombardo, Teo Duquesnoy, Marc El-Bouysidy, Hassna Årén, Fabian Gallo-Bueno, Alfonso Jørgensen, Peter Bjørn Bhowmik, Arghya Demortière, Arnaud Ayerbe, Elixabete Alcaide, Francisco Reynaud, Marine Carrasco, Javier Grimaud, Alexis Zhang, Chao Vegge, Tejs Johansson, Patrik Franco, Alejandro A. Chem Rev [Image: see text] 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. American Chemical Society 2021-09-16 2022-06-22 /pmc/articles/PMC9227745/ /pubmed/34529918 http://dx.doi.org/10.1021/acs.chemrev.1c00108 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Lombardo, Teo
Duquesnoy, Marc
El-Bouysidy, Hassna
Årén, Fabian
Gallo-Bueno, Alfonso
Jørgensen, Peter Bjørn
Bhowmik, Arghya
Demortière, Arnaud
Ayerbe, Elixabete
Alcaide, Francisco
Reynaud, Marine
Carrasco, Javier
Grimaud, Alexis
Zhang, Chao
Vegge, Tejs
Johansson, Patrik
Franco, Alejandro A.
Artificial Intelligence Applied to Battery Research: Hype or Reality?
title Artificial Intelligence Applied to Battery Research: Hype or Reality?
title_full Artificial Intelligence Applied to Battery Research: Hype or Reality?
title_fullStr Artificial Intelligence Applied to Battery Research: Hype or Reality?
title_full_unstemmed Artificial Intelligence Applied to Battery Research: Hype or Reality?
title_short Artificial Intelligence Applied to Battery Research: Hype or Reality?
title_sort artificial intelligence applied to battery research: hype or reality?
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227745/
https://www.ncbi.nlm.nih.gov/pubmed/34529918
http://dx.doi.org/10.1021/acs.chemrev.1c00108
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