Local order average-atom interatomic potentials.

IF 3.7 2区 化学 Q3 CHEMISTRY, PHYSICAL
Chloe A Zeller, Ronald E Miller, Ellad B Tadmor
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引用次数: 0

Abstract

This article describes an extension to the effective average-atom method for random alloys to account for local ordering (short-range order) effects by utilizing information from partial radial distribution functions. The new Local Order Average-Atom (LOAA) method is rigorously derived based on statistical mechanics arguments and validated for non-stoichiometric binary 2D hexagonal crystals and 3D FeNiCr and NiAl alloys whose ground state is obtained through Monte Carlo sampling. Material properties for these alloys computed from atomistic simulations using standard interatomic potentials (IPs) exhibit a strong dependence on local ordering that is captured by simulations with effective LOAA IPs, but not the original AA method. The advantage of LOAA is that it requires smaller system sizes to achieve statistically converged results and therefore enables the simulation of complex materials, such as high-entropy alloys, at a fraction of the computational cost of standard IPs.

局部阶平均原子间原子势。
本文描述了随机合金有效平均原子法的一种扩展,利用部分径向分布函数的信息来考虑局部有序(短程有序)效应。基于统计力学参数严格推导了新的局部阶平均原子(LOAA)方法,并对非化学计量二维二元六方晶体和通过蒙特卡罗采样获得基态的三维FeNiCr和NiAl合金进行了验证。使用标准原子间电位(ipps)从原子模拟中计算出的这些合金的材料特性显示出对局部有序的强烈依赖,这是通过使用有效的LOAA ipps模拟捕获的,而不是原始的AA方法。LOAA的优势在于,它需要更小的系统尺寸来实现统计收敛结果,因此可以模拟复杂材料,如高熵合金,而计算成本只是标准ip的一小部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Chemical Physics
Journal of Chemical Physics 物理-物理:原子、分子和化学物理
CiteScore
7.40
自引率
15.90%
发文量
1615
审稿时长
2 months
期刊介绍: The Journal of Chemical Physics publishes quantitative and rigorous science of long-lasting value in methods and applications of chemical physics. The Journal also publishes brief Communications of significant new findings, Perspectives on the latest advances in the field, and Special Topic issues. The Journal focuses on innovative research in experimental and theoretical areas of chemical physics, including spectroscopy, dynamics, kinetics, statistical mechanics, and quantum mechanics. In addition, topical areas such as polymers, soft matter, materials, surfaces/interfaces, and systems of biological relevance are of increasing importance. Topical coverage includes: Theoretical Methods and Algorithms Advanced Experimental Techniques Atoms, Molecules, and Clusters Liquids, Glasses, and Crystals Surfaces, Interfaces, and Materials Polymers and Soft Matter Biological Molecules and Networks.
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