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 language | English |
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Journal | Energy Advances |
Volume | 2 |
Issue number | 9 |
Pages (from-to) | 1237-1238 |
Number of pages | 2 |
ISSN | 2753-1457 |
DOIs | |
Publication status | Published - 2023 |