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Accurate Melting Temperatures for Neon and Argon from Ab Initio Monte Carlo Simulations

机译:来自AB Initio Monte Carlo模拟的霓虹灯和氩气准确熔化温度

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摘要

Although studied experimentally for centuries, the melting of solids is still a fascinating phenomenon whose underlying mechanisms are not yet well understood. Predicting melting points is a nontrivial task: The standard computational method relies on analyzing the free energies of the solid and liquid phases obtained independently by thermody-namic or Gibbs-Duhem integration; this approach suffers from the difficulty of calibration. Alternatively, in coexistence methods the interface between the two phases must be described explicitly ; this interface is often hard to stabilize. An alternative idea, which we pursue herein, is to obtain information about the melting transition by studying finite clusters and extrapolating the results to infinitely large systems. Here we present for the first time calculated melting temperatures reaching experimental accuracy obtained from Monte Carlo simulations of Ne_N and Ar_N clusters consisting of a "magic number" N of atoms (N= 13, 55,147,309, 561, 923) and of bulk samples. This was achieved by the use of accurate interaction potentials obtained from precise ab initio data having the same computational efficiency as the widely used empirical Lennard-Jones (LJ) potential, and without any experimental input whatsoever.
机译:虽然几个世纪以来研究,但固体的熔化仍然是一个迷人的现象,其潜在的机制尚不清楚。预测熔点是一个非动力任务:标准计算方法依赖于分析通过热部 - Namic或Gibbs-Duem集成独立地获得的固体和液相的自由能量;这种方法遭受了校准的难度。或者,在共存方法中,必须明确描述两个阶段之间的界面;该界面通常很难稳定。我们在此追求的替代理念是通过研究有限簇来获得有关熔化过渡的信息,并将结果推断到无限大的系统。在这里,我们呈现第一次计算熔化温度达到由Ne_N和AR_N簇的蒙特卡罗模拟获得的实验准确性,其由“神奇数”N组成(n = 13,55,147,309,561,923)和散装样品。这是通过使用从具有与广泛使用的经验Lennard-jones(LJ)电位相同的计算效率的精确的AB Initio数据获得的精确交互电位来实现,并且没有任何实验输入。

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