Kirchlechner, C.; Malyar, N.; Imrich, P. J.; Dehm, G.: Plastische Verformung an Korngrenzen: Neue Einblicke durch miniaturisierte Zug- und Druckversuche. 11. Tagung Gefüge und Bruch (2015), Leoben, Austria (2015)
Fink, C.; Brinckmann, S.; Shin, S.; Dehm, G.: Nanotribology and Microstructure Evolution in Pearlite. Frühjahrstagung der Sektion Kondensierte Materie der Deutschen Physikalischen Gesellschaft
, Berlin, Germany (2015)
Malyar, N.; Dehm, G.; Kirchlechner, C.: Insights into dislocation slip transfer by µLaue diffraction. Arbeitskreis-Treffen der Deutschen Gesellschaft für Materialkunde (DGM) e.V. „Rasterkraftmikroskopie und nanomechanische Methoden“, Darmstadt, Germany (2015)
Marx, V. M.; Kirchlechner, C.; Cordill, M. J.; Dehm, G.: The mechanical behavior of thin cobalt films on polyimide. Arbeitskreistreffen Rasterkraftmikroskopie und nanomechanische Methoden, TU Darmstadt, Darmstadt, Germny (2015)
Dehm, G.: Structure and Nano-/Micromechanics of Materials. Chemisch-Physikalisch-Technische Sektion der Max-Planck-Gesellschaft, Berlin, Germany (2015)
Dehm, G.: New Insights into Materials Phenomena by Advanced TEM. Symposium: Advanced Materials Analysis by latest STEM Technologies, Mülheim an der Ruhr, Germany (2015)
Brinckmann, S.; Fink, C.; Dehm, G.: Roughness and Microstructure Development during Nanotribology in Austenite. DPG-Spring Meeting, Berlin, Germany (2015)
Dehm, G.: Probing deformation mechanisms of Cu structures relevant for electronic applications. Electronic Materials and Applications, Orlando, FL, USA (2015)
Dehm, G.: Phase stability in nanostructured metallic materials with exceptional strength. 2015 MRS Fall Meeting, Symposium VV: In situ study of synthesis and transformation of materials, Boston, MA, USA (2015)
Harzer, T. P.; Djaziri, S.; Raghavan, R.; Dehm, G.: Nanostructure and mechanical behavior of metastable Cu–Cr thin films grown by molecular beam epitaxy. 61. Metallkunde-Kolloquium - Werkstoffforschung für Wirtschaft und Gesellschaft, Lech am Arlberg, Austria (2015)
Jaya, B. N.; Kirchlechner, C.; Dehm, G.: Probing deformation and fracture of materials with high spatial resolution. EDSA 2015 – International Workshop on Stress Assisted Environmental Damage in Structural Materials, Chennai, India (2015)
Jaya, B. N.; Kirchlechner, C.; Dehm, G.: Are micro-fracture tests reliable? 2015 MRS Fall Meeting and Exhibit - Symposium T: Strength and Failure at the Micro and Nano-scale-From fundamentals to Applications
, Boston, MA, USA (2015)
Dehm, G.: Differences in deformation behavior of Cu structures containing individual grain boundaries. Symposium RR: Scaling Effects in Plasticity - Synergy between Simulations and Experiments, Fall MRS, Boston, MA, USA (2014)
Hodnik, N.; Baldizzone, C.; Jeyabharathi, C.; Dehm, G.; Mayrhofer, K. J. J.: Bridging the gap between electrochemistry and microscopy: electrochemical IL-TEM and in-situ electrochemical TEM study. 2nd Conference on in In-situ and Correlative Electron Microscopy, Saarbrücken, Germany (2014)
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.
New product development in the steel industry nowadays requires faster development of the new alloys with increased complexity. Moreover, for these complex new steel grades, it is more challenging to control their properties during the process chain. This leads to more experimental testing, more plant trials and also higher rejections due to…
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
Advanced microscopy and spectroscopy offer unique opportunities to study the structure, composition, and bonding state of individual atoms from within complex, engineering materials. Such information can be collected at a spatial resolution of as small as 0.1 nm with the help of aberration correction.