Marx, V. M.; Kirchlechner, C.; Cordill, M. J.; Dehm, G.: Effects of the film thickness on the deformation behavior of thin Cu films on polyimide. Arbeitskreistreffen Rasterkraftmikroskopie und nanomechanische Methoden, Max-Planck-Institut für Eisenforschung GmbH, Düsseldorf, Germany (2014)
Marx, V. M.; Kirchlechner, C.; Cordill, M. J.; Dehm, G.: Film thickness effects on the deformation behavior of Cu/Cr thin films on polyimide. TMS 2014: 143rd Annual Meeting & Exhibition, San Diego, CA, USA (2014)
Dehm, G.: Shedding light on the role of interfaces for strengthening materials by using micromechanical testing. 60. Metallkunde-Jubiläumskolloquium, Lech am Arlberg, Germany (2014)
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)
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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…