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在分子动力学模拟中对极化高斯多极模型的性能调整

Zhen Huang¹, Yongxian Wu¹, Yong Duan²

¹Chemical and Materials Physics Graduate Program, Departments of Molecular Biology and Biochemistry, Chemical and Biomolecular Engineering, Materials Science and Engineering, and Biomedical Engineering, University of California, Irvine, Irvine, California 92697, United States.

Journal of chemical theory and computation

|January 8, 2025

概括

我们使用MPI增强了可极化高斯多极 (pGM) 对分子动力学 (MD) 的模拟. 这提高了研究更大的分子系统的计算效率和可扩展性.

科学领域:

计算化学是一种计算化学.
分子建模分子建模
生物物理学的生物物理.

背景情况:

分子动力学 (MD) 模拟对于原子层次的分子理解至关重要.
强力场的精度和采样是MD模拟可靠性的关键决定因素.
极化力场,就像极化高斯多极 (pGM) 模型一样,通过包括原子极化来提高准确性.

研究的目的:

在AMBER框架内提高pGM模拟的计算效率和可扩展性.
评估基于MPI的pGM实现的性能和稳定性.
为使用pGM模型提供最佳模拟设置的指导.

主要方法:

使用MPI实现可偏化的高斯多极 (pGM) 模型,以提高可扩展性.
基于MPI的pGM模型在NVE,NVT和NPT组合中的性能评估.
调查最佳的Ewald和感应参数,并评估统计属性.

主要成果:

基于MPI的pGM模型显著减少了模拟运行时间,并证明了有效的可扩展性.
在扩展模拟过程中,实现显示了增强的稳定性和稳定性.
不同的时间步骤和收耐受性影响诱导了双极计算,发现有助于建立知情的模拟设置.

结论:

增强MPI的pGM模型为MD模拟提供了更好的计算性能.
提高效率和可扩展性使得研究更大,更复杂的分子系统成为可能.
这项工作促进了pGM模型在详细的分子模拟中得到更广泛的应用.

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