Arntsen Christopher, Chen Chen, Voth Gregory A
Department of Chemistry, James Franck Institute, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois, 60637 USA.
College of Chemistry and Molecular Sciences, Hubei Key Lab of Electrochemical Power Sources, Wuhan University, Wuhan, 430072 China.
Chem Phys Lett. 2017 Sep 1;683:573-578. doi: 10.1016/j.cplett.2017.04.064. Epub 2017 Apr 22.
We present two new multiscale molecular dynamics (MS-RMD) models for the hydrated excess proton in water developed directly from molecular dynamics (AIMD) simulation data of the same system. The potential of mean force along the proton transfer reaction coordinate and radial distribution functions for the MS-RMD models are shown faithfully reproduce those of AIMD. The models are developed using an algorithm based on relative entropy minimization, thus demonstrating the ability of the method to rapidly generate accurate and highly efficient reactive MD force fields.
我们提出了两种新的多尺度分子动力学(MS-RMD)模型,用于描述水中水合过量质子,这些模型直接从同一系统的分子动力学(AIMD)模拟数据中开发而来。MS-RMD模型沿质子转移反应坐标的平均力势和径向分布函数能够如实地再现AIMD模型的相应结果。这些模型是使用基于相对熵最小化的算法开发的,从而证明了该方法能够快速生成准确且高效的反应性分子动力学力场。