output
20042026
most citedQuantitative characterization of surface topography using spectral analysis

507 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing cs.LGShow all

5 papers · 1 filter

cs.LG2024★ 21 cited

Macroscale fracture surface segmentation via semi-supervised learning considering the structural similarity

Johannes Rosenberger, Johannes Tlatlik, Sebastian Münstermann

To this date the safety assessment of materials, used for example in the nuclear power sector, commonly relies on a fracture mechanical analysis utilizing macroscopic concepts, whe…

cs.LG2020★ 2 cited

Compensating data shortages in manufacturing with monotonicity knowledge

Martin von Kurnatowski, Jochen Schmid, Patrick Link +5

Optimization in engineering requires appropriate models. In this article, a regression method for enhancing the predictive power of a model by exploiting expert knowledge in the fo…

cs.LG2020★ 26 cited

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…

cs.LG2020★ 1 cited

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…

cs.LG2019★ 9 cited

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…