Chemical Reviews

, volume 122 , issue 12 , pages 10899-10969

Artificial Intelligence Applied to Battery Research: Hype or Reality?

Teo Lombardo ^{1, 2}

Marc Duquesnoy ^{1, 2}

Hassna El Bouysidy ^{1, 3, 4}

Fabian Årén ^{3, 4}

Alfonso Gallo Bueno ^{3, 5}

Peter B Jørgensen ^{3, 6}

Arghya Bhowmik ^{3, 6}

Arnaud Demortière ^{1, 2, 3}

Elixabete Ayerbe ^{3, 7}

Francisco Alcaide ^{3, 7}

Marine Reynaud ^{3, 5}

Javier Carrasco ^{3, 5}

A. Grimaud ^{2, 3, 8}

Chao Zhang ^{3, 9}

Tejs Vegge ^{3, 6}

Patrik Johansson ^{3, 4}

Alejandro A. Franco ^{1, 2, 3, 10}

Hide authors affiliations Show authors affiliations: 10 affiliations

Laboratoire 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, France |

Réseau sur le Stockage Electrochimique de l’Energie (RS2E), FR CNRS 3459, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, France |

ALISTORE-European Research Institute, FR CNRS 3104, Hub de l’Energie, 15, rue Baudelocque, 80039 Amiens Cedex, France |

⁴

Department of Physics, Chalmers University of Technology, SE-41296 Göteborg, Sweden |

⁵

Centre for Cooperative Research on Alternative Energies (CIC EnergiGUNE), Basque Research and Technology Alliance (BRTA), Alava Technology Park, Albert Einstein 48, 01510 Vitoria-Gasteiz, Spain |

⁶

Department of Energy Conversion and Storage, Technical University of Denmark, Anker Engelunds Vej, Building 301, 2800 Kgs. Lyngby, Denmark |

⁷

CIDETEC, Basque Research and Technology Alliance (BRTA), Po. Miramón 196, 20014 Donostia-San Sebastián, Spain |

⁸

UMR CNRS 8260 “Chimie du Solide et Energie”, Collège de France, 11 Place Marcelin Berthelot, 75231 Paris Cedex 05, France Sorbonne Universités - UPMC Univ Paris 06, 4 Place Jussieu, F-75005 Paris, France

Sorbonne University

Collège de France

⁹

Department of Chemistry − Ångström Laboratory, Box 538, 75121 Uppsala, Sweden |

¹⁰

Institut Universitaire de France, 103 boulevard Saint Michel, 75005 Paris, France |

Publication type: Journal Article

Publication date: 2021-09-16

American Chemical Society (ACS)

Chemical Reviews

scimago Q1

wos Q1

SJR: 16.455

CiteScore: 100.5

Impact factor: 55.8

ISSN: 00092665, 15206890

DOI: 10.1021/acs.chemrev.1c00108

Copy DOI

PubMed ID: 34529918

General Chemistry

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.

Found

1 citation

Weiran Zheng

PhD in Chemistry, associate professor

71 publications, 3 413 citations, 36 reviews

h-index: 28

Technion – Israel Institute of Technology

Guangdong Technion-Israel Institute of Technology

Research interests

Electrochemistry

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Lombardo T. et al. Artificial Intelligence Applied to Battery Research: Hype or Reality? // Chemical Reviews. 2021. Vol. 122. No. 12. pp. 10899-10969.

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Lombardo T., Duquesnoy M., El Bouysidy H., Årén F., Gallo Bueno A., Jørgensen P. B., Bhowmik A., Demortière A., Ayerbe E., Alcaide F., Reynaud M., Carrasco J., Grimaud A., Zhang C., Vegge T., Johansson P., Franco A. A. Artificial Intelligence Applied to Battery Research: Hype or Reality? // Chemical Reviews. 2021. Vol. 122. No. 12. pp. 10899-10969.

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