Dresden 2026 – wissenschaftliches Programm
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MM: Fachverband Metall- und Materialphysik
MM 32: Topical Session: Advanced Nanomechanics – Accelerating Materials Physics from the Bottom I
MM 32.3: Topical Talk
Donnerstag, 12. März 2026, 11:00–11:30, SCH/A251
Expanding nanoindentation capabilities: Data-driven and novel experimental approaches — •Michael Wurmshuber1, Matthias Glosemeyer1, Pouya Hassanzadeh Sarhangi1, Verena Maier-Kiener2, Heinz Werner Höppel1, and Matthias Göken1 — 1Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany — 2Montanuniversität Leoben, Leoben, Austria
As material discovery and manufacturing accelerate through artificial intelligence and additive manufacturing, high-throughput materials characterization is essential to ensure fast-paced material development. Here, nanoindentation with its capability to measure small material volumes and individual microstructural constituents in a quick manner, has the edge over classical slow-paced mechanical testing. Since Oliver and Pharr's groundbreaking work, nanoindentation has developed to extract not only hardness and modulus but numerous other mechanical properties through specialized indentation protocols. This talk presents two approaches to further extend the information space we receive from nanoindentation. First, we introduce a novel spherical indentation technique enabling local mapping of inelastic backstrain via loading-unloading-reloading experiments, allowing for the mapping of underlying geometrically necessary dislocation networks. Second, we demonstrate how artificial neural networks and ensemble methods can accelerate flow curve characterization from standard Berkovich nanoindentation. Together, these advances demonstrate how data-driven and experimental innovations can significantly expand the information accessible from nanoindentation measurements.
Keywords: nanoindentation; nanomechanics; inelastic back-strain; machine learning; flow curves