Han Wei

most citedDeep learning methods based on cross-section images for predicting effective thermal conductivity of composites

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

physics.app-ph2020

Seeking for low thermal conductivity atomic configurations in $S i_{0.5} G e_{0.5}$ alloys with Bayesian Optimization

Jiahao Yan, Han Wei, Han Xie +2

The emergence of data-driven science has opened up new avenues for understanding the thermophysical properties of materials. For decades, alloys are known to possess very low therm…

physics.comp-ph2019★ 4 cited

Deep learning methods based on cross-section images for predicting effective thermal conductivity of composites

Qingyuan Rong, Han Wei, Hua Bao

Effective thermal conductivity is an important property of composites for different thermal management applications. Although physics-based methods, such as effective medium theory…

Seeking for low thermal conductivity atomic configurations in Si0.5​Ge0.5​ alloys with Bayesian Optimization

Deep learning methods based on cross-section images for predicting effective thermal conductivity of composites

Seeking for low thermal conductivity atomic configurations in $S i_{0.5} G e_{0.5}$ alloys with Bayesian Optimization