3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CE2022★ 3 cited
Finite Element Method-enhanced Neural Network for Forward and Inverse Problems
Rishith Ellath Meethal, Birgit Obst, Mohamed Khalil +4
We introduce a novel hybrid methodology combining classical finite element methods (FEM) with neural networks to create a well-performing and generalizable surrogate model for forw…
math.NA2019
A partitioned scheme for adjoint shape sensitivity analysis of fluid-structure interactions involving non-matching meshes
Reza Najian Asl, Ihar Antonau, Aditya Ghantasala +3
This work presents a partitioned solution procedure to compute shape gradients in fluid-structure interaction (FSI) using black-box adjoint solvers. Special attention is paid to pr…