adiabatic

Yifei Zhu1, Jiawei Peng1, Chao Xu1

  • 1MOE Key Laboratory of Environmental Theoretical Chemistry, SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety, School of Environment, South China Normal University, Guangzhou 510006, P. R. China.

概括

从非adiabatic分子动力学 (NAMD) 模拟中分析大型数据集具有挑战性. 本研究调查了无监督机器学习 (ML) 方法,用于识别NAMD模拟中的反应路径和理解分子运动.