Revisiting Many-Body Interaction Heat Current and Thermal Conductivity Calculations Using the Moment Tensor Potential/LAMMPS Interface.

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL Journal of Chemical Theory and Computation Pub Date : 2025-04-08 Epub Date: 2025-03-29 DOI:10.1021/acs.jctc.4c01659
Siu Ting Tai, Chen Wang, Ruihuan Cheng, Yue Chen
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Abstract

The definition of heat current operator for systems for nonpairwise additive interactions and its impact on related lattice thermal conductivity (κL) via molecular dynamics (MD) simulation are ambiguous and controversial when migrating from empirical potential models to machine learning potential (MLP) models. Herein, we study and compare the significance of many-body interaction with heat current computation in one of the most popular MLP models, the moment tensor potential (MTP). Nonequilibrium MD simulations and equilibrium MD simulations among four different materials were performed, and inconsistencies in energy conservation between the simulation thermostat and the pairwise calculator were found. A new virial stress tensor expression with a many-body heat current description was integrated inside the MTP, and we uncovered the influence of the modification that could alter the κL results by 29-64% using the equilibrium MD computational approach. Our work demonstrates the importance of a many-body description during thermal analysis in MD simulations when MLPs are of concern.

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利用矩张量势/LAMMPS界面重述多体相互作用热流和导热系数计算。
当从经验势模型迁移到机器学习势(MLP)模型时,非两两加性相互作用系统的热流算子的定义及其通过分子动力学(MD)模拟对相关晶格导热系数(κL)的影响是模糊和有争议的。在此,我们研究并比较了在最流行的MLP模型之一——矩张量势(MTP)中,多体相互作用与热流计算的重要性。对四种不同材料进行了非平衡态和平衡态动力学模拟,发现模拟恒温器和两两计算器在能量守恒方面存在不一致的地方。在MTP中集成了一个新的具有多体热流描述的虚拟应力张量表达式,并利用平衡MD计算方法揭示了修改的影响,可以使κL结果改变29-64%。我们的工作证明了多体描述在涉及mlp的MD模拟热分析中的重要性。
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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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