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Multiensemble sampling: An alternative efficient Monte Carlo technique

机译:多集合采样:另一种有效的蒙特卡洛技术

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摘要

We present a general recipe for the successful non-Boltzmann sampling simulation from which data including the free energy of a system over a moderately wide range of thermodynamic states can be obtained. A universal form of the non-Boltzmann weighting function W is derived by a functional minimization so that a most favorable condition for the simultaneous investigation of several states with uniform accuracy is satisfied. The realization of the method is simple and systemic. The accuracy of the method is demonstrated by comparison with reliable earlier results for a Lennard-Jones fluid.
机译:我们提出了成功的非玻尔兹曼采样模拟的一般方法,可以从中获得包括系统在一定范围内的热力学状态下的自由能的数据。非玻尔兹曼加权函数W的通用形式是通过函数最小化而得出的,从而满足了以均匀精度同时研究多个状态的最有利条件。该方法的实现简单,系统。通过与Lennard-Jones流体的可靠早期结果进行比较,证明了该方法的准确性。

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