顺磁性
扩散
材料科学
从头算
凝聚态物理
从头算量子化学方法
动力学蒙特卡罗方法
原子扩散
蒙特卡罗方法
化学物理
热力学
物理
分子
量子力学
数学
统计
作者
Kangming Li,Chu‐Chun Fu,Maylise Nastar,F. Soisson
出处
期刊:Physical review
[American Physical Society]
日期:2023-03-06
卷期号:107 (9)
被引量:9
标识
DOI:10.1103/physrevb.107.094103
摘要
Predicting atomic diffusion in concentrated magnetic systems is challenging due to thermal magnetic effects and complex magnetochemical interplay. We propose an efficient approach via kinetic Monte Carlo using ab initio parametrized models. We demonstrate its accuracy in the case of Fe-Ni alloys, where we successfully predict and explain the weak composition dependence of diffusion coefficients due to a compensation of distinct contributions of their constituents. The diffusion-behavior difference between the paramagnetic and the magnetic ground states is elucidated, evidencing the role of magnetic disorder.
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