无机晶体的声子传输特性预测方法:从传统方法到人工智能

Yi Wei1, Zhixiang Liu1, Guangzhao Qin1,2

  • 1State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, P. R. China. gzqin@hnu.edu.cn.

Nanoscale horizons
|November 14, 2024
PubMed
概括

预测声传输特性是理解材料行为的关键. 这篇论文回顾了当前的策略和准确的声导热率预测的未来方向.