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Principal component analysis enables the design of deep learning potential precisely capturing LLZO phase transitions
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Discover how Yiwei You, Dexin Zhang, Fulun Wu, Xinrui Cao, Yang Sun, Zi-Zhong Zhu, and Shunqing Wu have transformed the Li₇La₃Zr₂O₁₂ (LLZO) system with a cutting-edge deep learning-based interatomic potential, enabling a more efficient approach to solid-state battery design while significantly lowering computational costs.
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