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20212023
most citedSelf-adaptive loss balanced Physics-informed neural networks for the incompressible Navier-Stokes equations

501 citations · 639 across the 13 of their papers we have counts for

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physics.flu-dyn2023★ 59 cited

Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator

Yanfang Lyu, Xiaoyu Zhao, Zhiqiang Gong +2

Data-driven prediction of fluid flow and temperature distribution in marine and aerospace engineering has received extensive research and demonstrated its potential in real-time pr…

physics.flu-dyn2021★ 501 cited

Self-adaptive loss balanced Physics-informed neural networks for the incompressible Navier-Stokes equations

Zixue Xiang, Wei Peng, Xiaohu Zheng +2

There have been several efforts to Physics-informed neural networks (PINNs) in the solution of the incompressible Navier-Stokes fluid. The loss function in PINNs is a weighted sum…