activity
20222026
most citedResidual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learning

62 citations · 62 across the 6 of their papers we have counts for

collaborators
Showing 2022Show all

1 paper · 1 filter

physics.flu-dyn2022★ 62 cited

Residual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learning

Joongoo Jeon, Juhyeong Lee, Ricardo Vinuesa +1

While a big wave of artificial intelligence (AI) has propagated to the field of computational fluid dynamics (CFD) acceleration studies, recent research has highlighted that the de…