most citedMachine-Learning for Nonintrusive Model Order Reduction of the Parametric Inviscid Transonic Flow past an airfoil

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physics.flu-dyn2023★ 3 cited

Physics-Informed Neural Networks for Mesh Deformation with Exact Boundary Enforcement

Atakan Aygun, Romit Maulik, Ali Karakus

In this work, we have applied physics-informed neural networks (PINN) for solving mesh deformation problems. We used the collocation PINN method to capture the new positions of the…

physics.flu-dyn2019★ 2 cited

Machine-Learning for Nonintrusive Model Order Reduction of the Parametric Inviscid Transonic Flow past an airfoil

S. Ashwin Renganathan, Romit Maulik, Vishwas Rao

Fluid flow in the transonic regime finds relevance in aerospace engineering, particularly in the design of commercial air transportation vehicles. Computational fluid dynamics mode…