2 papers
cond-mat.mtrl-sci2025
Towards an automated workflow in materials science for combining multi-modal simulative and experimental information using data mining and large language models
Balduin Katzer, Steffen Klinder, Katrin Schulz
To retrieve and compare scientific data of simulations and experiments in materials science, data needs to be easily accessible and machine readable to qualify and quantify various…
eess.SP2024
Deciphering Acoustic Emission with Machine Learning
Dénes Berta, Balduin Katzer, Katrin Schulz +1
Acoustic emission signals have been shown to accompany avalanche-like events in materials, such as dislocation avalanches in crystalline solids, collapse of voids in porous matter…