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Canonical sampling through velocity rescaling

机译:通过速度缩放进行规范采样

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The authors present a new molecular dynamics algorithm for sampling the canonical distribution.In this approach the velocities of all the particles are rescaled by a properly chosen random factor.The algorithm is formally justified and it is shown that,in spite of its stochastic nature,a quantity can still be defined that remains constant during the evolution.In numerical applications this quantity can be used to measure the accuracy of the sampling.The authors illustrate the properties of this new method on Lennard-Jones and TIP4P water models in the solid and liquid phases.Its performance is excellent and largely independent of the thermostat parameter also with regard to the dynamic properties.
机译:作者提出了一种新的分子动力学算法采样规范distribution.In通过适当选择随机factor.The算法这种方法的所有粒子的速度是重新调整为正式正当的,它表明,尽管它的随机性质的,在数值应用中,该数量可用于测量采样的准确性。作者说明了该新方法在Lennard-Jones和TIP4P水模型中在固体和土壤中的特性。它的性能极佳,并且在动力学特性方面很大程度上与恒温器参数无关。

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