most citedDeep Learning Interfacial Momentum Closures in Coarse-Mesh CFD Two-Phase Flow Simulation Using Validation Data

3 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

physics.flu-dyn2020★ 3 cited

Deep Learning Interfacial Momentum Closures in Coarse-Mesh CFD Two-Phase Flow Simulation Using Validation Data

Han Bao, Jinyong Feng, Nam Dinh +1

Multiphase flow phenomena have been widely observed in the industrial applications, yet it remains a challenging unsolved problem. Three-dimensional computational fluid dynamics (C…

physics.comp-ph2019★ 2 cited

Computationally Efficient CFD Prediction of Bubbly Flow using Physics-Guided Deep Learning

Han Bao, Jinyong Feng, Nam Dinh +1

To realize efficient computational fluid dynamics (CFD) prediction of two-phase flow, a multi-scale framework was proposed in this paper by applying a physics-guided data-driven ap…