Philippi, B.: Micromechanical characterization of lead-free solder and its individual microstructure elements. Dissertation, Fakultät für Maschnenbau, RUB, Bochum, Germany (2016)
Marx, V. M.: The mechanical behavior of thin metallic films on flexible polymer substrate. Dissertation, Ruhr-Universität Bochum, Bochum, Germany (2016)
Imrich, P. J.; Dehm, G.; Clemens, H. J.: TEM Investigations on Interactions of Dislocations with Boundaries. Dissertation, Department of Physical Metallurgy and Materials Testing, Montanuniversität Leoben, Franz-Josef Strasse 18, 8700 Leoben, Austria, Leoben, Austria (2015)
Völker, B.: Investigation of interface properties of barrier metals on dielectric substrates. Dissertation, Department of Physical Metallurgy and Materials Testing, Montanuniversität Leoben, Franz-Josef Strasse 18, 8700, Leoben, Austria (2014)
Wimmer, A. C.: Plasticity and fatigue of miniaturized Cu structures. Dissertation, Department of Physical Metallurgy and Materials Testing, Montanuniversität Leoben, Franz-Josef Strasse 18, 8700, Leoben, Austria (2014)
Dehm, G.; Liebscher, C.; Völker, B.; Scheu, C.: Organizer of the “IAMNano 2019 Düsseldorf” - International Workshop on Advanced In Situ Microscopies of Functional Nanomaterials and Devices. (2019)
Dehm, G.: Organizer of Mechanical Properties and Adhesion” 46th International Conference on Metallurgical Coatings & Thin Films (ICMCTF) 2019. (accepted)
Dehm, G.; Molina-Aldareguía, J. M.; Monclús, M.: Mini-symposium “Experimental Micromechanics and Nanomechanics” at the 10th European Solid Mechanics Conference (ESMC2018) (Organization). (2018)
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.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
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…
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.