Dehm, G.: Cu–Cr nanocomposites and multilayers. Gordon Research Conference: Thin Film & Small Scale Mechanical Behavior, Bentley University, Boston, MA, USA (2014)
Dehm, G.: Localized mechanical study of individual interfaces in miniaturized Cu structures. MS&T14 - Materials Science & Technology 2014, Pittsburgh, PA, USA (2014)
Imrich, P. J.; Kirchlechner, C.; Motz, C.; Jeon, J. B.; Dehm, G.: In Situ Electron Microscopy and Micro-Laue Study of Plasticity in Miniaturized Cu Bicrystals. CAMTEC III, Symposium on Fine-Scale Mechanical Characterisation and Behaviour , Cambridge, UK (2014)
Kirchlechner, C.; Imrich, P. J.; Motz, C.; Dehm, G.: Plastic deformation of bi-crystalline micro pillars analyzed by in situ µLaue diffraction. TMS2014, Annual Meeting & Exhibition, San Diego, CA, USA (2014)
Pizzagalli, L.; Dehm, G.; Thomas, O.: Structure and dynamics V: Mechanical properties at small scales. Condensed Matter in Paris: Mini-colloquium 32, Paris, France (2014)
Dehm, G.: From idealized bi-crystals towards applied polycrystals: Plastic deformation in small dimensions. 2013 MRS Fall Meeting, Boston, MA, USA (2013)
Dehm, G.: Structure and Micromechanics of Materials. Materialwissenschaftliches Kolloquium ICAMS und Institut für Werkstoffe, RUB, Bochum, Germany (2013)
Dehm, G.: Probing deformation phenomena at small length scales. ECI on Nanomechanical Testing in Materials Research and Development IV, Olhão, Portugal (2013)
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
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…
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…