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基于经典德鲁德振子的可极化力场在NAMD中的高性能可扩展分子动力学模拟。

High-performance scalable molecular dynamics simulations of a polarizable force field based on classical Drude oscillators in NAMD.

作者信息

Jiang Wei, Hardy David J, Phillips James C, Mackerell Alexander D, Schulten Klaus, Roux Benoît

机构信息

Argonne Leadership Computing Facility, Argonne National Laboratory, Lemont, IL 60439, USA, Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA, Department of Pharmaceutical Sciencies, School of Pharmacy, University of Maryland, Baltimore MD 21201, USA, Department of Physics, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA, and Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL 60637, USA.

出版信息

J Phys Chem Lett. 2011;2(2):87-92. doi: 10.1021/jz101461d.

Abstract

Incorporating the influence of induced polarization in large-scale atomistic molecular dynamics (MD) simulations is a critical challenge in the progress toward computations of increased accuracy. One computationally efficient treatment is based on the classical Drude oscillator in which an auxiliary charged particle is attached by a spring to each nucleus. Here, we report the first implementation of this model in the program NAMD. An extended Lagrangian dynamics with a dual-Langevin thermostat scheme applied to the Drude-nucleus pairs is employed to efficiently generate classical dynamic propagation near the self-consistent field limit. Large-scale MD simulations based on the Drude polarizable force field scale very well on massively distributed supercomputing platforms, the computational demand being only about 50-100% higher than for nonpolarizable models. As an illustration, a large-scale 150 mM NaCl aqueous salt solution is simulated, and the calculated ionic conductivity is shown to be in excellent agreement with experiment.

摘要

在大规模原子分子动力学(MD)模拟中纳入感应极化的影响是提高计算精度进程中的一项关键挑战。一种计算效率高的处理方法基于经典的德鲁德振子模型,其中一个辅助带电粒子通过弹簧连接到每个原子核上。在此,我们报告了该模型在程序NAMD中的首次实现。采用扩展拉格朗日动力学和应用于德鲁德 - 原子核对的双朗之万恒温器方案,以在自洽场极限附近有效地生成经典动力学传播。基于德鲁德可极化力场的大规模MD模拟在大规模分布式超级计算平台上扩展性良好,计算需求仅比不可极化模型高约50 - 100%。作为示例,模拟了大规模150 mM的NaCl盐水溶液,计算得到的离子电导率与实验结果显示出极好的一致性。

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