101 citations · 255 across the 6 of their papers we have counts for
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cs.LG2020★ 80 cited
A deep learning framework for solution and discovery in solid mechanics
Ehsan Haghighat, Maziar Raissi, Adrian Moure +2
We present the application of a class of deep learning, known as Physics Informed Neural Networks (PINN), to learning and discovery in solid mechanics. We explain how to incorporat…
physics.flu-dyn2020★ 37 cited
The divergence-conforming immersed boundary method: Application to vesicle and capsule dynamics
Hugo Casquero, Carles Bona-Casas, Deepesh Toshniwal +3
We extend the recently introduced divergence-conforming immersed boundary (DCIB) method [1] to fluid-structure interaction (FSI) problems involving closed co-dimension one solids.…