Accelerating Variable Cell Shape Molecular Dynamics with a Position-Dependent Mass Matrix.

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL
Martin Sommer-Jörgensen, Marco Krummenacher, Stefan Goedecker
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引用次数: 0

Abstract

In molecular dynamics (MD), the accessible time scales are limited by the necessity to choose sufficiently small time steps so that the fastest vibrations of the system can still be modeled. Mass tensor molecular dynamics (MTMD) aims to increase the time step by augmenting the Hamiltonian with a position-dependent mass matrix. Higher masses are assigned to modes with fast vibrations. These modes are identified by using an approximate Hessian matrix. The approximate Hessian matrix presented in this paper is applicable to the simulation of molecular systems, where no changes in the bonding pattern occur. We have adapted the MTMD method to variable cell shape systems and present a suitable symplectic integrator. The efficiency of the method is demonstrated for a system of molecular crystals consisting of N-(4-Methylbenzylidene)-4-methylaniline, where we could sample transitions between two polymorphs and thereby increase the time step by a factor of 4.4 to speed up the simulation. We have also simulated liquid water at the density function theory level, where we have achieved an acceleration by a factor of 2.8.

用位置依赖质量矩阵加速变细胞形状分子动力学。
在分子动力学(MD)中,可访问的时间尺度受到选择足够小的时间步长的必要性的限制,以便仍然可以模拟系统的最快振动。质量张量分子动力学(MTMD)的目的是通过增加哈密顿量与位置相关的质量矩阵来增加时间步长。高质量被分配给振动快的模态。这些模态是用近似的黑森矩阵来识别的。本文提出的近似Hessian矩阵适用于不改变键模式的分子系统的模拟。我们将MTMD方法应用于变胞形系统,并给出了一个合适的辛积分器。对于由N-(4-甲基苄基)-4-甲基苯胺组成的分子晶体系统,该方法的效率得到了证明,在该系统中,我们可以对两个多晶态之间的转换进行采样,从而将时间步长增加4.4倍,以加快模拟速度。我们还在密度函数理论水平上模拟了液态水,在那里我们实现了2.8倍的加速度。
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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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