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)
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)
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
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…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
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…