632 citations · 2.8k across the 17 of their papers we have counts for
4 papers · 1 filter
Seeing Permeability From Images: Fast Prediction with Convolutional Neural Networks
Jin-Long Wu, Xiao-Long Yin, Heng Xiao
Fast prediction of permeability directly from images enabled by image recognition neural networks is a novel pore-scale modeling method that has a great potential. This article pre…
RANS Equations with Explicit Data-Driven Reynolds Stress Closure Can Be Ill-Conditioned
Jin-Long Wu, Heng Xiao, Rui Sun +1
Reynolds-averaged Navier--Stokes (RANS) simulations with turbulence closure models continue to play important roles in industrial flow simulations. However, the commonly used linea…
Data-Driven, Physics-Based Feature Extraction from Fluid Flow Fields
Carlos Michelén Ströfer, Jinlong Wu, Heng Xiao +1
Feature identification is an important task in many fluid dynamics applications and diverse methods have been developed for this purpose. These methods are based on a physical unde…
Physics-Informed Machine Learning Approach for Augmenting Turbulence Models: A Comprehensive Framework
Jin-Long Wu, Heng Xiao, Eric Paterson
Reynolds-averaged Navier-Stokes (RANS) equations are widely used in engineering turbulent flow simulations. However, RANS predictions may have large discrepancies due to the uncert…