6 citations · 10 across the 4 of their papers we have counts for
7 papers
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…
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…
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…
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…
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…
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…