activity
20152023
most citedSurrogate Modeling for Fluid Flows Based on Physics-Constrained Deep Learning Without Simulation Data

1.1k citations · 5.1k across the 37 of their papers we have counts for

collaborators
Showing 2017Show all

1 paper · 1 filter

physics.flu-dyn2017★ 514 cited

A Comprehensive Physics-Informed Machine Learning Framework for Predictive Turbulence Modeling

Jian-Xun Wang, Jinlong Wu, Julia Ling +2

Although an increased availability of computational resources has enabled high-fidelity simulations of turbulent flows, the RANS models are still the dominant tools for industrial…