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most citedGauss-Newton Natural Gradient Descent for Physics-Informed Computational Fluid Dynamics

2 citations · 3 across the 6 of their papers we have counts for

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physics.flu-dyn2025★ 1 cited

Physics-constrained DeepONet for Surrogate CFD models: a curved backward-facing step case

Anas Jnini, Harshinee Goordoyal, Sujal Dave +3

The Physics-Constrained DeepONet (PC-DeepONet), an architecture that incorporates fundamental physics knowledge into the data-driven DeepONet model, is presented in this study. Thi…