6 citations · 6 across the 4 of their papers we have counts for
4 papers
Unsupervised Segmentation of Micro-CT Scans of Polyurethane Structures By Combining Hidden-Markov-Random Fields and a U-Net
Julian Grolig, Lars Griem, Michael Selzer +4
Extracting digital material representations from images is a necessary prerequisite for a quantitative analysis of material properties. Different segmentation approaches have been…
A U-Net-Based Self-Stitching Method for Generating Periodic Grain Structures
Ye Ji, Arnd Koeppe, Patrick Altschuh +6
When modeling microstructures, the computational resource requirements increase rapidly as the simulation domain becomes larger. As a result, simulating a small representative frac…
Data-driven analysis of grain-growth kinetics in duplex and triplex systems
P G Kubendran Amos, Ramanathan Perumal, Arnd Koeppe +1
During grain growth in multiphase system, a convincing understanding on how the evolution kinetics of an individual phase-grains relates to the growth rate of entire microstructure…
Explainable artificial intelligence for mechanics: physics-informing neural networks for constitutive models
Arnd Koeppe, Franz Bamer, Michael Selzer +2
(Artificial) neural networks have become increasingly popular in mechanics to accelerate computations with model order reduction techniques and as universal models for a wide varie…