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首页> 外文期刊>Journal of Computational Physics >Accelerating ab initio path integral molecular dynamics with multilevel sampling of potential surface
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Accelerating ab initio path integral molecular dynamics with multilevel sampling of potential surface

机译:通过潜在表面的多级采样加速从头算路径的整体分子动力学

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摘要

A multilevel approach to sample the potential energy surface in a path integral formalism is proposed. The purpose is to reduce the required number of ab initio evaluations of energy and forces in ab initio path integral molecular dynamics (AI-PIMD) simulation, without compromising the overall accuracy. To validate the method, the internal energy and free energy of an Einstein crystal are calculated and compared with the analytical solutions. As a preliminary application, we assess the performance of the method in a realistic model-the FCC phase of dense atomic hydrogen, in which the calculated result shows that the acceleration rate is about 3 to 4-fold for a two-level implementation, and can be increased up to 10 times if extrapolation is used. With only 16 beads used for the ab initio potential sampling, this method gives a well converged internal energy. The residual error in pressure is just about 3 GPa, whereas it is about 20 GPa for a plain AI-PIMD calculation with the same number of beads. The vibrational free energy of the FCC phase of dense hydrogen at 300 K is also calculated with an AI-PIMD thermodynamic integration method, which gives a result of about 0.51 eV/proton at a density of r(s) = 0.912. (C) 2014 Elsevier Inc. All rights reserved.
机译:提出了一种在路径积分形式主义中对势能面进行采样的多级方法。目的是减少从头算路径积分分子动力学(AI-PIMD)模拟中所需的从头计算能量和力的数量,而又不影响整体准确性。为了验证该方法,计算了爱因斯坦晶体的内部能量和自由能,并将其与分析溶液进行了比较。作为初步的应用,我们评估了该方法在现实模型(密实氢原子的FCC相)中的性能,其中计算结果表明,对于两级实施,加速度约为3到4倍,并且如果使用外推,则最多可以增加10倍。仅使用16个珠子进行从头算电位采样,该方法可提供良好收敛的内部能量。残余压力误差仅为3 GPa,而对于相同数量的珠子,普通AI-PIMD计算约为20 GPa。还使用AI-PIMD热力学积分方法计算了300 K时稠密氢的FCC相的振动自由能,在r(s)= 0.912的密度下得出的结果约为0.51 eV /质子。 (C)2014 Elsevier Inc.保留所有权利。

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