Machinelearning approach opens insights into an entire class of materials being pursued for solid-state batteries NatureMaterials
J.M. thanks the National Science Foundation of China for the financial support . Q.R. thanks the Guangdong Basic and Applied Basic Research Foundation , the National Natural Science Foundation of China , the Institute of High Energy Physics, Chinese Academy of Science and the Open Project of Key Laboratory of Artificial Structures and Quantum Control . J.D. and O.D. were supported by the US National Science Foundation DMREF award . Y.P.
Key Laboratory of Artificial Structures and Quantum Control, School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, ChinaInstitute of High Energy Physics, Chinese Academy of Sciences, Beijing, ChinaQingyong Ren & Xin TongMayanak K. Gupta, Jingxuan Ding & Olivier DelaireCollege of Materials, Shanghai Dianji University, Shanghai, ChinaJohn A.
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