材料科学
分子动力学
电荷(物理)
碳化硅
能量(信号处理)
动力学(音乐)
化学物理
硅
凝聚态物理
计算化学
物理
量子力学
化学
声学
冶金
作者
Cunzhi Zhang,François Gygi,Giulia Galli
标识
DOI:10.1103/physrevmaterials.8.046201
摘要
Using nudged elastic band calculations and first-principles molecular dynamics with enhanced sampling, we study the formation and dynamics of the divacancy ${\mathrm{V}}_{\mathrm{C}}{\mathrm{V}}_{\mathrm{Si}}$ (VV) in cubic silicon carbide, including VV rotation and migration. We show that for all processes studied here the energy barriers and preferred pathway depend on the charge state of the defects. Our results indicate that the influence of multiple charge states and entropic effects should be considered for a quantitative description of the physical and dynamical properties of point defects at finite temperatures. In addition, we demonstrate that molecular dynamics simulations using machine-learning potentials can efficiently and reliably capture entropic effects and yield accurate free-energy barriers.
科研通智能强力驱动
Strongly Powered by AbleSci AI