Inkson, B. J.; Dehm, G.; Peng, Y.: Dynamical growth of Cu-Pt nanowires with a nanonecklace morphology. Nanotechnology 18 (41), 415601, pp. 1 - 5 (2007)
Oh, S. H.; Legros, M.; Kiener, D.; Gruber, P. A.; Dehm, G.: In situ TEM straining of single crystal Au films on polyimide: Change of deformation mechanisms at the nanoscale. Acta Materialia 55 (16), pp. 5558 - 5571 (2007)
Kiener, D.; Motz, C.; Rester, M.; Jenko, M.; Dehm, G.: FIB damage of Cu and possible consequences for miniaturized mechanical tests. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 459 (1-2), pp. 262 - 272 (2007)
Kiener, D.; Motz, C.; Schöberl, T.; Jenko, M.; Dehm, G.: Determination of mechanical properties of copper at the micron scale. Advanced Engineering Materials 8 (11), pp. 1119 - 1125 (2006)
Riethmüller, J.; Dehm, G.; Affeldt, E. E.; Arzt, E.: Microstructure and mechanical behavior of Pt-modified NiAl diffusion coatings. International Journal of Materials Research 97 (6), pp. 689 - 698 (2006)
Wetscher, F.; Pippan, R.; Šturm, S.; Kauffmann, F.; Scheu, C.; Dehm, G.: TEM investigation of the structural evolution in a pearlitic steel deformed by high pressure torsion. Metallurgical and Materials Transactions a-Physical Metallurgy and Materials Science 37 (6), pp. 1963 - 1968 (2006)
Kauffmann, F.; Ji, B.; Dehm, G.; Gao, H.; Arzt, E.: A quantitative study of the hardness in a superhard nanocrystalline titanium nitride/silicon nitride coating. Scripta Materialia 52 (12), pp. 1269 - 1274 (2005)
Dehm, G.; Edongué, H.; Wagner, T. A.; Oh, S. H.; Arzt, E.: Obtaining different orientation relationships for Cu films grown on (0001) α-Al2O3 substrates by magnetron sputtering. Zeitschrift für Metallkunde 96 (3), pp. 249 - 254 (2005)
Sauter, L. X.; Balk, T. J.; Dehm, G.; Nucci, J.; Arzt, E.: Hillock Formation and Thermal Stresses in Thin Au Films on Si Substrates. Materials Research Society Symposium Proceedings 875, O5.2, pp. 177 - 182 (2005)
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
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
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…
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.
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…