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,…
cs.DC2021
Parallel Machine Learning of Partial Differential Equations
Amin Totounferoush, Neda Ebrahimi Pour, Sabine Roller +1
In this work, we present a parallel scheme for machine learning of partial differential equations. The scheme is based on the decomposition of the training data corresponding to sp…