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熵对泛函理论探索

Exploration of Entropy Pair Functional Theory.

作者信息

Sluss Clifton C, Pittman Jace, Nicholson Donald M, Keffer David J

机构信息

Department of Materials Science & Engineering, University of Tennessee, Knoxville, TN 37996, USA.

Department of Physics and Astronomy, University of North Carolina, Asheville, NC 28803, USA.

出版信息

Entropy (Basel). 2022 Apr 26;24(5):603. doi: 10.3390/e24050603.

Abstract

Evaluation of the entropy from molecular dynamics (MD) simulation remains an outstanding challenge. The standard approach requires thermodynamic integration across a series of simulations. Recent work Nicholson et al. demonstrated the ability to construct a functional that returns excess entropy, based on the pair correlation function (PCF); it was capable of providing, with acceptable accuracy, the absolute excess entropy of iron simulated with a pair potential in both fluid and crystalline states. In this work, the general applicability of the Entropy Pair Functional Theory (EPFT) approach is explored by applying it to three many-body interaction potentials. These potentials are state of the art for large scale models for the three materials in this study: Fe modelled with a modified embedded atom method (MEAM) potential, Cu modelled with an MEAM and Si modelled with a Tersoff potential. We demonstrate the robust nature of EPFT in determining excess entropy for diverse systems with many-body interactions. These are steps toward a universal Entropy Pair Functional, EPF, that can be applied with confidence to determine the entropy associated with sophisticated optimized potentials and first principles simulations of liquids, crystals, engineered structures, and defects.

摘要

评估分子动力学(MD)模拟中的熵仍然是一个突出的挑战。标准方法需要在一系列模拟中进行热力学积分。Nicholson等人最近的工作证明了基于对关联函数(PCF)构建一个能够返回过量熵的泛函的能力;它能够以可接受的精度提供在流体和晶体状态下用对势模拟的铁的绝对过量熵。在这项工作中,通过将熵对泛函理论(EPFT)方法应用于三种多体相互作用势,探索了该方法的普遍适用性。这些势是本研究中三种材料大规模模型的最新技术:用修正嵌入原子法(MEAM)势模拟的铁、用MEAM模拟的铜以及用Tersoff势模拟的硅。我们证明了EPFT在确定具有多体相互作用的不同系统的过量熵方面的稳健性。这些都是朝着通用熵对泛函(EPF)迈出的步骤,该泛函可以放心地应用于确定与复杂优化势以及液体、晶体、工程结构和缺陷的第一性原理模拟相关的熵。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c18/9140801/146a9989f72d/entropy-24-00603-g001.jpg

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