1 citations · 1 across the 2 of their papers we have counts for
3 papers
physics.flu-dyn2022★ 1 cited
NNPred: A Predictor Library to Deploy Neural Networks in Computational Fluid Dynamics software
Weishuo Liu, Ziming Song, Jian Fang
A neural-networks predictor library has been developed to deploy machine learning (ML) models into computational fluid dynamics (CFD) codes. The pointer-to-implementation strategy…
physics.flu-dyn2019
An Iterative Machine-Learning Framework for RANS Turbulence Modeling
Weishuo Liu, Jian Fang, Stefano Rolfo +2
Machine-learning (ML) techniques provide a new and encouraging perspective for constructing turbulence models for Reynolds-averaged Navier--Stokes (RANS) simulations. In this study…
physics.flu-dyn2019
An Initial Attempt of Converged Machine-Learning Assisted Turbulence Modeling in RANS Simulations with Eddy-Viscosity Hypothesis
Weishuo Liu, Jian Fang, Stefano Rolfo +1
This work presents a converged framework of Machine-Learning Assisted Turbulence Modeling (MLATM). Our objective is to develop a turbulence model directly learning from high fideli…