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深度学习辅助原子级阶段分割,用于诊断离子电池的复杂氧化物阴极.

Dong Zhu1,2,3, Chunyang Wang1, Peichao Zou1

  • 1Department of Physics and Astronomy, University of California Irvine, Irvine, California 92697, United States.

Nano letters
|August 29, 2023
PubMed
概括

一个新的深度学习工具可以在复杂的电池材料中实现自动化原子对原子相段. 这一突破有助于理解相位转换和开发先进材料.

关键词:
阴极是天主体,它们是天主体.深度学习是一种深度学习.离子电池是一种离子电池.阶段细分阶段的细分阶段.阶段转换的相位转换.扫描传输电子显微镜扫描传输电子显微镜

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