activity
20162022
most citedPhysics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data

15 citations · 26 across the 6 of their papers we have counts for

collaborators
Showing physics.comp-phShow all

2 papers · 1 filter

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…

physics.comp-ph2020★ 15 cited

Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data

Luning Sun, Jian-Xun Wang

In many applications, flow measurements are usually sparse and possibly noisy. The reconstruction of a high-resolution flow field from limited and imperfect flow information is sig…