26 citations · 65 across the 6 of their papers we have counts for
3 papers · 1 filter
Deep Reinforcement Learning Methods for Structure-Guided Processing Path Optimization
Johannes Dornheim, Lukas Morand, Samuel Zeitvogel +3
A major goal of materials design is to find material structures with desired properties and in a second step to find a processing path to reach one of these structures. In this pap…
CupNet -- Pruning a network for geometric data
Raoul Heese, Lukas Morand, Dirk Helm +1
Using data from a simulated cup drawing process, we demonstrate how the inherent geometrical structure of cup meshes can be used to effectively prune an artificial neural network i…
The Good, the Bad and the Ugly: Augmenting a black-box model with expert knowledge
Raoul Heese, Michał Walczak, Lukas Morand +2
We address a non-unique parameter fitting problem in the context of material science. In particular, we propose to resolve ambiguities in parameter space by augmenting a black-box…