3 citations · 4 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2021★ 1 cited
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks
Shengyu Chen, Shervin Sammak, Peyman Givi +2
Direct numerical simulation (DNS) of turbulent flows is computationally expensive and cannot be applied to flows with large Reynolds numbers. Large eddy simulation (LES) is an alte…
cs.CE2021★ 3 cited
Machine learning-assisted surrogate construction for full-core fuel performance analysis
Yifeng Che, Joseph Yurko, Koroush Shirvan
Accurately predicting the behavior of a nuclear reactor requires multiphysics simulation of coupled neutronics, thermal-hydraulics and fuel thermo-mechanics. The fuel thermo-mechan…