26 citations · 41 across the 7 of their papers we have counts for
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cond-mat.mtrl-sci2022★ 2 cited
Prediction of steel nanohardness by using graph neural networks on surface polycrystallinity maps
Kamran Karimi, Henri Salmenjoki, Katarzyna Mulewska +4
As a bulk mechanical property, nanoscale hardness in polycrystalline metals is strongly dependent on microstructural features that are believed to be heavily influenced from comple…
physics.comp-ph2022
Mechanisms of strength and hardening in austenitic stainless 310S steel: Nanoindentation experiments and multiscale modeling
F. J. Domínguez-Gutíerrez, K. Mulewska, A. Ustrzycka +7
Austenitic stainless steels with low carbon have exceptional mechanical properties and are capable to reduce embrittlement, due to high chromium and nickel alloying, thus they are…