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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. (c) 2007 American Institute of Physics.
机译:作者提出了一种用于采样规范分布的新的分子动力学算法。在该方法中所有粒子的速度由一个适当选择的随机因子重新缩放。该算法在形式上是合理的,并且表明,尽管算法具有随机性,但仍可以定义在演化过程中保持恒定的数量。在数字应用中,该数量可用于测量采样的准确性。作者说明了这种新方法在Lennard-Jones和TIP4P水模型中的固相和液相性质。它的性能极佳,并且在动态特性方面也与恒温器参数基本无关。 (c)2007年美国物理研究所。

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