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)
Volkert, C. A.; Busch, S.; Heiland, B.; Dehm, G.: Transmission electron microscopy of fluorapatite-gelatine composite particles prepared using focused ion beam milling. Journal of Microscopy 214 (3), pp. 208 - 212 (2004)
Schmidt, T.; Balk, T. J.; Dehm, G.; Arzt, E.: Influence of tantalum and silver interlayers on thermal stress evolution in copper thin films on silicon substrates. Scripta Materialia 50 (6), pp. 733 - 737 (2004)
Inkson, B. J.; Dehm, G.; Wagner, T. A.: Thermal stability of Ti and Pt nanowires manufactured by Ga+ focused ion beam. Journal of Microscopy 214 (3), pp. 252 - 260 (2004)
Dehm, G.; Inkson, B. J.; Wagner, T. A.: Growth and microstructural stability of epitaxial Al films on (0001) α-Al2O3 substrates. Acta Materialia 50 (20), pp. 5021 - 5032 (2002)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…