Okumura Hisashi, Okamoto Yuko
Department of Theoretical Studies, Institute for Molecular Science, Okazaki, Aichi 444-8585, Japan.
Phys Rev E Stat Nonlin Soft Matter Phys. 2004 Aug;70(2 Pt 2):026702. doi: 10.1103/PhysRevE.70.026702. Epub 2004 Aug 13.
We present three generalized isobaric-isothermal ensemble Monte Carlo algorithms, which we refer to as the multibaric-multithermal, multibaric-isothermal, and isobaric-multithermal algorithms. These Monte Carlo simulations perform random walks widely in volume space and/or in potential energy space. From only one simulation run, one can calculate isobaric-isothermal-ensemble averages in wide ranges of pressure and temperature. We demonstrate the effectiveness of these algorithms by applying them to the Lennard-Jones 12-6 potential system with 500 particles.
我们提出了三种广义等压-等温系综蒙特卡罗算法,我们将其称为多压-多热、多压-等温以及等压-多热算法。这些蒙特卡罗模拟在体积空间和/或势能空间中进行广泛的随机游走。仅通过一次模拟运行,就可以在很宽的压力和温度范围内计算等压-等温系综平均值。我们通过将这些算法应用于具有500个粒子的 Lennard-Jones 12-6 势系统来证明这些算法的有效性。