Published in

Royal Society of Chemistry, Energy Advances, 4(2), p. 449-464, 2023

DOI: 10.1039/d3ya00040k

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Machine learning-inspired battery material innovation

Journal article published in 2023 by Man-Fai Ng ORCID, Yongming Sun ORCID, Zhi Wei Seh ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Data-driven machine learning is a proven technique for battery material discovery and enables the development of sustainable next-generation batteries.