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Updated: Jun 12, 2025

Elemental-sensitive Detection of the Chemistry in Batteries through Soft X-ray Absorption Spectroscopy and Resonant Inelastic X-ray Scattering
Published on: April 17, 2018
Harnessing explainable AI to adaptively design catalysts for lithium-sulfur batteries
1Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, P.R. China.
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The exploration of efficient catalysts for sluggish sulfur redox reactions is pivotal for advancing lithium-sulfur batteries but remains inefficient through trial-and-error approaches. In a recent Joule study, Zhou, Li, and colleagues proposed an explainable-AI-based approach to intelligently design catalysts adaptive to diverse local chemical environments in batteries, achieving exceptional catalytic and battery performance.
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