activity
20192022
most citedExperimental Observation of High Intrinsic Thermal Conductivity of AlN

183 citations · 432 across the 8 of their papers we have counts for

collaborators

8 papers

physics.comp-ph2022★ 6 cited

Physics-Informed Deep Learning for Solving Phonon Boltzmann Transport Equation with Large Temperature Non-Equilibrium

Ruiyang Li, Jian-Xun Wang, Eungkyu Lee +1

Phonon Boltzmann transport equation (BTE) is a key tool for modeling multiscale phonon transport, which is critical to the thermal management of miniaturized integrated circuits, b…

cond-mat.mtrl-sci2021

A Computational Method for Studying Vibrational Mode Dynamics

Andrew Rohskopf, Ruiyang Li, Tengfei Luo +1

The traditional picture of heat transfer in solids by atomic vibrations, also known as phonons, involves phonons scattering with each other like gas particles and is commonly refer…

cond-mat.mes-hall2021★ 137 cited

Experimental Observation of Localized Interfacial Phonon Modes

Zhe Cheng, Ruiyang Li, Xingxu Yan +12

Interfaces impede heat flow in micro/nanostructured systems. Conventional theories for interfacial thermal transport were derived based on bulk phonon properties of the materials m…

physics.comp-ph2021★ 3 cited

Physics-Informed Neural Networks for Solving Multiscale Mode-Resolved Phonon Boltzmann Transport Equation

Ruiyang Li, Eungkyu Lee, Tengfei Luo

Boltzmann transport equation (BTE) is an ideal tool to describe the multiscale phonon transport phenomena, which are critical to applications like microelectronics cooling. Numeric…

physics.optics2020★ 23 cited

Optically Driven Gold Nanoparticles Seed Surface Bubble Nucleation in Plasmonic Suspension

Qiushi Zhang, Ruiyang Li, Eungkyu Lee +1

Photothermal surface bubbles play important roles in a wide range of applications like catalysis, microfluidics and biosensing, but their formation on a transparent substrate immer…

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…