Semantic Scholar Open Access 2021 360 sitasi

Artificial Intelligence Applied to Battery Research: Hype or Reality?

Teo Lombardo M. Duquesnoy Hassna El-Bouysidy Fabian Årén Alfonso Gallo-Bueno +12 lainnya

Lihat Sumber DOI

Abstrak

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.

Topik & Kata Kunci

Medicine

Penulis (17)

Teo Lombardo

M. Duquesnoy

Hassna El-Bouysidy

Fabian Årén

Alfonso Gallo-Bueno

P. B. Jørgensen

Arghya Bhowmik

Arnaud Demortière

E. Ayerbe

F. Alcaide

M. Reynaud

J. Carrasco

A. Grimaud

Chao Zhang

T. Vegge

P. Johansson

A. Franco

Format Sitasi

APA MLA BibTeX

Lombardo, T., Duquesnoy, M., El-Bouysidy, H., Årén, F., Gallo-Bueno, A., Jørgensen, P.B. et al. (2021). Artificial Intelligence Applied to Battery Research: Hype or Reality?. https://doi.org/10.1021/acs.chemrev.1c00108

Akses Cepat

Lihat di Sumber doi.org/10.1021/acs.chemrev.1c00108

Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Total Sitasi: 360×
Sumber Database: Semantic Scholar
DOI: 10.1021/acs.chemrev.1c00108
Akses: Open Access ✓