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Langevin stabilization of molecular-dynamics simulations of polymers by means of quasisymplectic algorithms

机译:兰格文稳定化的拟渐进算法模拟聚合物的分子动力学

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摘要

Algorithms for the numerical integration of Langevin equations are compared in detail from the point of view of their accuracy, numerical efficiency, and stability to assess them as potential candidates for molecular-dynamics simulations of polymeric systems. Some algorithms are symplectic in the deterministic frictionless limit and prove to stabilize long time-step integrators. They are tested against other popular algorithms. The optimal algorithm depends on the main goal: accuracy or efficiency. The former depends on the observable of interest. A recently developed quasisymplectic algorithm with great accuracy in the position evaluation exhibits better overall accuracy and stability than the other ones. On the other hand, the well-known BrunGer-Brooks-Karplus [Chem. Phys. Lett. 105, 495 (1982)] algorithm is found to be faster with limited accuracy loss but less stable. It is also found that using higher-order algorithms does not necessarily improve the accuracy. Moreover, they usually require more force evaluations per single step, thus leading to poorer performances.
机译:从朗格文方程的数值积分算法的准确性,数值效率和稳定性的角度,对它们进行了详细比较,以将其评估为聚合物体系分子动力学模拟的潜在候选者。一些算法在确定性无摩擦极限上是辛辛的,并证明可以稳定长时积分器。它们针对其他流行算法进行了测试。最佳算法取决于主要目标:准确性或效率。前者取决于可观察的利益。最近开发的位置估计精度高的拟渐近算法比其他算法具有更好的总体精度和稳定性。另一方面,著名的BrunGer-Brooks-Karplus [Chem。物理来吧105,495(1982)]算法发现速度更快,但精度损失有限,但稳定性较差。还发现使用高阶算法不一定会提高准确性。此外,他们通常需要在每个步骤中进行更多的力评估,从而导致性能较差。

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