使Ab InitioPython

Woodrow N Wilson1,2, Vivek S Bharadwaj3, Neeraj Rai1

  • 1Dave C. Swalm School of Chemical Engineering and Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, Mississippi 39762, United States.

概括

一个新的Python库,ASE-MC,使用ab initio方法和机器学习原子间潜力 (MLIPs) 实现了透明和可重复的蒙特卡洛 (MC) 模拟. 该框架简化了研究人员的复杂模拟,提高了科学见解的可发现性.

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