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20192022
most citedPhysics-Informed Deep Learning for Solving Phonon Boltzmann Transport Equation with Large Temperature Non-Equilibrium

6 citations · 13 across the 8 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

physics.optics2021

Plasmonic Nanobubbles: A Perspective

Seunghyun Moon, Qiushi Zhang, Zhihao Xu +5

The field of plasmonic nanobubbles, referring to bubbles generated around nanoparticles due to plasmonic heating, is growing rapidly in recent years. Theoretical, simulation and ex…

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…