7 citations · 11 across the 3 of their papers we have counts for
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cs.CE2023★ 7 cited
Error Approximation and Bias Correction in Dynamic Problems using a Recurrent Neural Network/Finite Element Hybrid Model
Moritz von Tresckow, Herbert De Gersem, Dimitrios Loukrezis
This work proposes a hybrid modeling framework based on recurrent neural networks (RNNs) and the finite element (FE) method to approximate model discrepancies in time dependent, mu…
cs.CE2021★ 4 cited
A Neural Solver for Variational Problems on CAD Geometries with Application to Electric Machine Simulation
Moritz von Tresckow, Stefan Kurz, Herbert De Gersem +1
This work presents a deep learning-based framework for the solution of partial differential equations on complex computational domains described with computer-aided design tools. T…