4 citations · 4 across the 1 of their papers we have counts for
2 papers
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…
cond-mat.mes-hall2017
Probing the phonon surface interaction by wave packet simulation: effect of roughness and morphology
Cheng Shao, Qingyuan Rong, Ming Hu +1
One way to reduce the lattice thermal conductivity of solids is to induce additional phonon surface scattering through nanostructures. However, how phonons interact with boundaries…