3 papers
cond-mat.mtrl-sci2025
Machine-learning-enabled interpretation of tribological deformation patterns in large-scale MD data
Hendrik J. Ehrich, Marvin C. May, Stefan J. Eder
Molecular dynamics (MD) simulations have become indispensable for exploring tribological deformation patterns at the atomic scale. However, transforming the resulting high-dimensio…
cond-mat.mtrl-sci2025
Single-shot capable surface acoustic wave dispersion measurement of a layered plate
Georg Watzl, Stefan Eder, Martin Ryzy +4
Established techniques for characterizing a layer on a substrate system via surface acoustic wave (SAW) dispersion measurement are often slow due to the need for scanning excitatio…
cond-mat.mtrl-sci2023
Deformation twins as a probe for tribologically induced stress states
Antje Dollmann, Christian Kuebel, Vahid Tavakolli +6
Friction and wear of metals are critically influenced by the microstructures of the bodies constituting the tribological contact. Understanding the microstructural evolution taking…