Issue 9, 2023
From the journal:

Energy Advances

Artificial intelligence and machine learning in energy storage and conversion

Zhi Wei Seh,*a   Kui Jiaobc  and  Ivano E. Castellid  

* Corresponding authors

a Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore 138634, Republic of Singapore
E-mail: sehzw@imre.a-star.edu.sg

b State Key Laboratory of Engines, Tianjin University, 135 Yaguan Rd, Tianjin 300350, China

c National Industry-Education Platform of Energy Storage, Tianjin University, 135 Yaguan Rd, Tianjin 300350, China

d Department of Energy Conversion and Storage, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark

Abstract

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Graphical abstract: Artificial intelligence and machine learning in energy storage and conversion

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Article information

DOI
https://doi.org/10.1039/D3YA90022C
Article type
Editorial
First published
08 8 2023
This article is Open Access
Creative Commons BY license

Energy Adv., 2023,2, 1237-1238

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Artificial intelligence and machine learning in energy storage and conversion

Z. W. Seh, K. Jiao and I. E. Castelli, Energy Adv., 2023, 2, 1237 DOI: 10.1039/D3YA90022C

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