Artificial Intelligence Applied to Battery Research: Hype or Reality?
Reviewartikel, 2022

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.

Författare

Teo Lombardo

Centre national de la recherche scientifique (CNRS)

Université de Picardie Jules Verne

Marc Duquesnoy

Centre national de la recherche scientifique (CNRS)

Université de Picardie Jules Verne

Hassna El-Bouysidy

Centre national de la recherche scientifique (CNRS)

Université de Picardie Jules Verne

Fabian Årén

Chalmers, Fysik, Materialfysik

Centre national de la recherche scientifique (CNRS)

Alfonso Gallo-Bueno

Basque Research and Technology Alliance (BRTA)

Centre national de la recherche scientifique (CNRS)

Peter Bjørn Jørgensen

Danmarks Tekniske Universitet (DTU)

Centre national de la recherche scientifique (CNRS)

Arghya Bhowmik

Danmarks Tekniske Universitet (DTU)

Centre national de la recherche scientifique (CNRS)

Arnaud Demortière

Centre national de la recherche scientifique (CNRS)

Université de Picardie Jules Verne

Elixabete Ayerbe

Centre national de la recherche scientifique (CNRS)

Centro de Investigacion Tecnológica En Electroquimica

Francisco Alcaide

Centre national de la recherche scientifique (CNRS)

Centro de Investigacion Tecnológica En Electroquimica

Marine Reynaud

Centre national de la recherche scientifique (CNRS)

Basque Research and Technology Alliance (BRTA)

Javier Carrasco

Basque Research and Technology Alliance (BRTA)

Centre national de la recherche scientifique (CNRS)

Alexis Grimaud

Centre national de la recherche scientifique (CNRS)

Collège de France

Sorbonne Université

Chao Zhang

Uppsala universitet

Centre national de la recherche scientifique (CNRS)

T. Vegge

Centre national de la recherche scientifique (CNRS)

Danmarks Tekniske Universitet (DTU)

Patrik Johansson

Centre national de la recherche scientifique (CNRS)

Chalmers, Fysik, Materialfysik

Alejandro A. Franco

Centre national de la recherche scientifique (CNRS)

Université de Picardie Jules Verne

Institut Universitaire de France

Chemical Reviews

0009-2665 (ISSN) 1520-6890 (eISSN)

Vol. 122 12 10899 -10969

Högkoncentrerade elektrolyter

Energimyndigheten (39909-1), 2015-02-01 -- 2019-09-30.

Tillämpad AI för batteri F&U

VINNOVA (2020-02321), 2020-11-01 -- 2021-07-15.

Styrkeområden

Transport

Energi

Materialvetenskap

Ämneskategorier

Design

Systemvetenskap

Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning

DOI

10.1021/acs.chemrev.1c00108

PubMed

34529918

Mer information

Senast uppdaterat

2023-05-26