212 citations · 248 across the 4 of their papers we have counts for
4 papers
Seeking for low thermal conductivity atomic configurations in 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…
A relaxation time model for efficient and accurate prediction of lattice thermal conductivity
Han Xie, Xiaokun Gu, Hua Bao
Prediction of lattice thermal conductivity is important to many applications and technologies, especially for high-throughput materials screening. However, the state-of-the-art met…
Effect of the accuracy of interatomic force constants on the prediction of lattice thermal conductivity
Han Xie, Xiaokun Gu, Hua Bao
Solving Peierls-Boltzmann transport equation with interatomic force constants (IFCs) from first-principles calculations has been a widely used method for predicting lattice thermal…
Unexpectedly Large Tunability of Lattice Thermal Conductivity of Monolayer Silicene via Mechanical Strain
Han Xie, Tao Ouyang, Éric Germaneau +3
Strain engineering is one of the most promising and effective routes toward continuously tuning the electronic and optic properties of materials, while thermal properties are gener…