183 citations · 432 across the 8 of their papers we have counts for
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cond-mat.mtrl-sci2019★ 1 cited
A Unified Deep Neural Network Potential Capable of Predicting Thermal Conductivity of Silicon in Different Phases
Ruiyang Li, Eungkyu Lee, Tengfei Luo
Molecular dynamics simulations have been extensively used to predict thermal properties, but simulating different phases with similar precision using a unified force field is often…
cond-mat.mtrl-sci2019★ 183 cited
Experimental Observation of High Intrinsic Thermal Conductivity of AlN
Zhe Cheng, Yee Rui Koh, Abdullah Mamun +17
AlN is an ultra-wide bandgap semiconductor which has been developed for applications including power electronics and optoelectronics. Thermal management of these applications is th…
physics.app-ph2019★ 79 cited
Thermal Conductance Across Harmonic-matched Epitaxial Al-sapphire Heterointerfaces
Zhe Cheng, Yee Rui Koh, Habib Ahmad +17
A unified understanding of interfacial thermal transport is missing due to the complicated nature of interfaces which involves complex factors such as interfacial bonding, interfac…