Dehm, G.: Atomic resolution interface study of VN and Cu films on MgO using Cs corrected TEM. Microscopy Conference MC 2013, Regensburg, Germany (2013)
Dehm, G.: Struktur und Nano-/Mikromechanik von Materialien. Vorstandssitzung des Stahlinstituts VDEh und der Wirtschaftsvereinigung Stahl, Düsseldorf, Germany (2013)
Kirchlechner, C.; Liegl, W.; Motz, C.; Dehm, G.: X-ray μLaue: A novel view on fatigue damage at the micron scale. ECI on Nanomechanical Testing 2013, Olhão (Algarve), Portugal (2013)
Kirchlechner, C.; Motz, C.; Dehm, G.: A novel view on fatigue damage at the micron scale by X-ray µLaue diffraction. GDRi CNRS MECANO General Meeting on the Mechanics of Nano-Objects, MPIE, Düsseldorf, Germany (2013)
Marx, V. M.; Kirchlechner, C.; Cordill, M. J.; Dehm, G.: Deformation behavior of a Cr interlayer buried under Cu films on polyimide. GDRi CNRS MECANO General Meeting on the Mechanics of Nano-Objects, MPIE, Düsseldorf, Germany (2013)
Dehm, G.: Prospects and experimental constraints of nano/micro-mechanical testing in materials science. GDRiCNRSMecano General Meeting, Ecole des Mines, Paris, France (2012)
Rashkova, B.; Moser, G.; Felber, H.; Grosinger, W.; Zhang, Z.; Motz, C.; Dehm, G.: A Novel Preparation Route to Obtain Micro-Bending Beams for In-situ TEM Studies. 9th Multinational Microscopy Conference 2009, Institute for Electron Microscopy Graz University of Technology , Graz, Austria (2009)
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
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
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.
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.