在原子模拟中用于结构分类的轻量级可伸缩堆叠框架

Yanhao Deng1, Yangyang Wang1, Ke Xu2

  • 1University of Michigan─Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, 800 Dongchuan Rd., Minhang District, Shanghai 200240, P. R. China.

概括

一个新的轻量级和可扩展堆叠结构 (LESS) 分类器可以准确地识别原子晶体结构. 这种机器学习模型的准确度超过98.8%,性能优于现有方法,并且可以适应新的结构.

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