Qingyuan Rong

Predicting the effective thermal conductivities of composite materials and porous media by machine learning methods

Han Wei, Shuaishuai Zhao, Qingyuan Rong et al. · International Journal of Heat and Mass Transfer · 2018 · 304 citations

Materials Science, Engineering, Machine Learning +11

Predicting the effective thermal conductivity of composites from cross sections images using deep learning methods

Qingyuan Rong, Wei Han, Xingyi Huang et al. · Composites Science and Technology · 2019 · 151 citations

Materials Science, Engineering, Machine Learning +11

Understanding the mechanism of diffuse phonon scattering at disordered surfaces by atomistic wave-packet investigation

Cheng Shao, Qingyuan Rong, Nianbei Li et al. · Physical review. B./Physical review. B · 2018 · 50 citations

Engineering, Surface Boundary Condition, Phonon Surface Scattering +20

Probing phonon–surface interaction by wave-packet simulation: Effect of roughness and morphology

Cheng Shao, Qingyuan Rong, Ming Hu et al. · Journal of Applied Physics · 2017 · 38 citations · Full text

Nanosheet, Engineering, Acoustic Metamaterial +18

Molecular dynamics study of the interfacial thermal conductance of multi-walled carbon nanotubes and van der Waals force induced deformation

Qingyuan Rong, Cheng Shao, Hua Bao · Journal of Applied Physics · 2017 · 11 citations

Engineering, Molecular Dynamics, Thermal Conductivity +23