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Principal component analysis enables the design of deep learning potential precisely capturing LLZO phase transitions

Physics

Principal component analysis enables the design of deep learning potential precisely capturing LLZO phase transitions

Y. You, D. Zhang, et al.

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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