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Updated: Jun 14, 2025

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E (((n) - 均等变量卡尔特斯张量信息传递原子间电位

Junjie Wang1, Yong Wang1,2, Haoting Zhang1

  • 1National Laboratory of Solid State Microstructures, School of Physics and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210093, China.

Nature communications
|September 1, 2024
PubMed
概括

传递原子间潜力 (HotPP) 通过使用张量来获取更丰富的节点信息来提高机器学习潜力. 这种等价神经网络准确地预测了属性和光谱,为材料科学研究提供了强大的工具.

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