1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Data-Augmented Few-Shot Neural Emulator for Computer-Model System Identification
Sanket Jantre, Deepak Akhare, Zhiyuan Wang +2
Partial differential equations (PDEs) underpin the modeling of many natural and engineered systems. It can be convenient to express such models as neural PDEs rather than using tra…
physics.flu-dyn2022★ 1 cited
A unified method of data assimilation and turbulence modeling for separated flows at high Reynolds numbers
Z. Y. Wang, W. W. Zhang
In recent years, machine learning methods represented by deep neural networks (DNN) have been a new paradigm of turbulence modeling. However, in the scenario of high Reynolds numbe…