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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
Yu-Chen Gao1, Xiang Chen1,2,3, Yu-Hang Yuan1
1Beijing Key Laboratory of Complex Solid State Batteries & Tsinghua Center for Green Chemical Engineering Electrification, Department of Chemical Engineering, Tsinghua University, Beijing 100084, P.R. China. xiangchen@mail.tsinghua.edu.cn.
Artificial intelligence (AI) accelerates molecular design for advanced batteries, enhancing energy density, lifespan, and safety. This review explores AI strategies, algorithms, and applications for sustainable energy innovations.
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