170 citations · 272 across the 4 of their papers we have counts for
12 papers
Machine Learning for Predicting Thermal Transport Properties of Solids
Xin Qian, Ronggui Yang
Quantitative descriptions of the structure-thermal property correlation have been a bottleneck in designing materials with superb thermal properties. In the past decade, the first-…
Thermal Conductivity Modeling using Machine Learning Potentials: Application to Crystalline and Amorphous Silicon
Xin Qian, Shenyou Peng, Xiaobo Li +2
First-principles based modeling on phonon dynamics and transport using density functional theory and Boltzmann transport equation has proven powerful in predicting thermal conducti…
Temperature Effect on Phonon Dispersion Stability of Zirconium by Machine Learning-driven Atomistic Simulations
Xin Qian, Ronggui Yang
It is well known that conventional harmonic lattice dynamics cannot be applied to energetically unstable crystals at 0 K, such as high temperature body centered cubic (BCC) phase o…
Three-Dimensional Anisotropic Thermal Conductivity Tensor of Single Crystalline \b{eta}-Ga2O3
Puqing Jiang, Xin Qian, Xiaobo Li +1
\b{eta}-Ga2O3 has attracted considerable interest in recent years for high power electronics, where thermal properties of \b{eta}-Ga2O3 play a critical role. The thermal conductivi…
Tutorial: Time-domain thermoreflectance (TDTR) for thermal property characterization of bulk and thin film materials
Puqing Jiang, Xin Qian, Ronggui Yang
Measuring thermal properties of materials is not only of fundamental importance in understanding the transport processes of energy carriers (electrons and phonons) but also of prac…
Thermal conductivity of polymers and polymer nanocomposites
Congliang Huang, Xin Qian, Ronggui Yang
Polymers are widely used in industry and in our daily life because of their diverse functionality, light weight, low cost and excellent chemical stability. However, on some applica…