Artificial intelligence and machine learning in energy storage and conversion

Zhi Wei Seh*, Kui Jiao, Ivano E. Castelli

*Corresponding author for this work

Research output: Contribution to journalEditorial

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Abstract

Artificial intelligence (AI) and machine learning (ML) have been transforming the way we perform scientific research in recent years.1–4 This themed collection aims to showcase the implementation of AI and ML in energy storage and conversion research, including that on batteries, supercapacitors, electrocatalysis, and photocatalysis. The works covered range from materials, to devices, to systems, with an emphasis on how AI and ML have accelerated research and development in these fields.
Original languageEnglish
JournalEnergy Advances
Volume2
Issue number9
Pages (from-to)1237-1238
Number of pages2
ISSN2753-1457
DOIs
Publication statusPublished - 2023

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