121 citations · 330 across the 20 of their papers we have counts for
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physics.flu-dyn2021
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya +1
Deep Learning (DL) algorithms are emerging as a key alternative to computationally expensive CFD simulations. However, state-of-the-art DL approaches require large and high-resolut…
cs.LG2021★ 55 cited
Mosaic Flows: A Transferable Deep Learning Framework for Solving PDEs on Unseen Domains
Hengjie Wang, Robert Planas, Aparna Chandramowlishwaran +1
Physics-informed neural networks (PINNs) are increasingly employed to replace/augment traditional numerical methods in solving partial differential equations (PDEs). While state-of…