Accurate description of high-order phonon anharmonicity and lattice thermal conductivity from molecular dynamics simulations with machine learning potential

声子 非谐性 热导率 凝聚态物理 钻石 玻尔兹曼方程 分子动力学 声子散射 散射 原子间势 物理 材料科学 量子力学 复合材料
作者
Yulou Ouyang,Cuiqian Yu,Jia He,Pengfei Jiang,Weijun Ren,Jie Chen
出处
期刊:Physical review [American Physical Society]
卷期号:105 (11) 被引量:89
标识
DOI:10.1103/physrevb.105.115202
摘要

Phonon anharmonicity is critical for accurately predicting the material's thermal conductivity ($\ensuremath{\kappa}$). However, its calculation based on the perturbation theory is a difficult and time-consuming task, especially for the high-order phonon scattering process. In this work, using cubic boron arsenide (BAs) and diamond as examples, we combine the machine learning potential (MLP) with molecular dynamics simulations to predict $\phantom{\rule{4pt}{0ex}}\ensuremath{\kappa}$ and assess the effect of anharmonicity on thermal transport properties. A MLP based on the matrix tensor algorithm is developed in this work, which can accurately describe lattice dynamics behaviors in both BAs and diamond. The phonon spectral energy density analysis reveals that MLP can effectively capture both the phonon mode softening and the linewidth broadening induced by the anharmonicity at finite temperatures in both materials. Compared to diamond, BAs exhibits a stronger anharmonicity revealed by the larger deviation from equilibrium position and more pronounced phonon broadening effect, especially at high temperatures. Furthermore, based on the phonon Boltzmann transport equation and three-phonon scattering process, our calculation results demonstrate that the accuracy of the MLP in predicting the $\ensuremath{\kappa}$ is comparable to that of density-functional theory calculations for both diamond and BAs. However, this framework can only predict $\ensuremath{\kappa}$ of diamond in agreement with experimental measurements, but significantly overestimates the $\ensuremath{\kappa}$ of BAs compared to the experimental results, due to the significant impact of high-order phonon scattering process in BAs. In contrast, the $\ensuremath{\kappa}$ values predicted by equilibrium molecular dynamics simulations combined with MLP agree well with experimental values for both BAs and diamond. Our study suggests that molecular dynamics simulation combined with MLP is a reliable and computationally efficient tool to account for full orders of anharmonicity and provide accurate predictions of material's thermal conductivity without any a priori knowledge of the importance of high-order phonon anharmonicity.
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