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Performance of extended Lagrangian schemes for molecular dynamics simulations with classical polarizable force fields and density functional theory

机译:用经典可极化力场和密度泛函理论进行分子动力学模拟的扩展拉格朗日方案的性能

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摘要

Iterative energy minimization with the aim of achieving self-consistency is a common feature of Born-Oppenheimer molecular dynamics (BOMD) and classical molecular dynamics with polarizable force fields. In the former, the electronic degrees of freedom are optimized, while the latter often involves an iterative determination of induced point dipoles. The computational effort of the self-consistency procedure can be reduced by re-using converged solutions from previous time steps. However, this must be done carefully, as not to break time-reversal symmetry, which negatively impacts energy conservation. Self-consistent schemes based on the extended Lagrangian formalism, where the initial guesses for the optimized quantities are treated as auxiliary degrees of freedom, constitute one elegant solution. We report on the performance of two integration schemes with the same underlying extended Lagrangian structure, which we both employ in two radically distinct regimes-in classical molecular dynamics simulations with the AMOEBA polarizable force field and in BOMD simulations with the Onetep linear-scaling density functional theory (LS-DFT) approach. Both integration schemes are found to offer significant improvements over the standard (unpropagated) molecular dynamics formulation in both the classical and LS-DFT regimes.
机译:以实现自洽为目的的最小化迭代能量是Born-Oppenheimer分子动力学(BOMD)和具有极化力场的经典分子动力学的共同特征。在前者中,电子自由度得到优化,而后者通常涉及迭代确定感应点偶极子。通过重新使用先前时间步骤中的收敛解,可以减少自洽过程的计算量。但是,必须仔细进行此操作,以免破坏时间反转对称性,这不利于节能。一种基于扩展拉格朗日形式主义的自洽方案,其中最优量的初始猜测被视为辅助自由度,构成了一种优雅的解决方案。我们报告了两个具有相同基础扩展拉格朗日结构的集成方案的性能,我们在两个根本不同的方案中都采用了这种方案-在具有AMOEBA可极化力场的经典分子动力学模拟中以及在Onetep线性比例密度函数下的BOMD模拟中理论(LS-DFT)方法。在经典和LS-DFT方案中,发现这两种整合方案都比标准(未传播的)分子动力学公式提供了显着改进。

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