12 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.CE2021
Partitioned Deep Learning of Fluid-Structure Interaction
Amin Totounferoush, Axel Schumacher, Miriam Schulte
We present a partitioned neural network-based framework for learning of fluid-structure interaction (FSI) problems. We decompose the simulation domain into two smaller sub-domains,…
physics.geo-ph2021★ 12 cited
Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach
Patrick Schmidt, Alexander Jaust, Holger Steeb +1
We introduce a partitioned coupling approach for iterative coupling of flow processes in deformable fractures embedded in a poro-elastic medium that is enhanced by interface quasi-…