Arigela, V. G.: Development and application of a high-temperature micromechanics stage with a novel temperature measurement approach. Dissertation, Ruhr-Universität Bochum (2020)
Luo, W.: Mechanical properties of the cubic and hexagonal NbCo2 Laves phases studied by micromechanical testing. Dissertation, Ruhr-Universität Bochum (2019)
Pizzutilo, E.: Towards On-Site Production of Hydrogen Peroxide with Gold-Palladium catalysts in Electrocatalysis and Heterogeneous Catalysis. Dissertation, Ruhr-Universität Bochum, Bochum, Germany (2017)
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)
Wetegrove, M.; Duarte, M. J.; Taube, K.; Rohloff, M.; Gopalan, H.; Scheu, C.; Dehm, G.; Kruth, A.: Preventing Hydrogen Embrittlement: The Role of Barrier Coatings for the Hydrogen Economy, Hydrogen 4 (2 Ed.), pp. 307 - 322 (2023)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
The prediction of materials properties with ab initio based methods is a highly successful strategy in materials science. While the working horse density functional theory (DFT) was originally designed to describe the performance of materials in the ground state, the extension of these methods to finite temperatures has seen remarkable…
The aim of the work is to develop instrumentation, methodology and protocols to extract the dynamic strength and hardness of micro-/nano- scale materials at high strain rates using an in situ nanomechanical tester capable of indentation up to constant strain rates of up to 100000 s−1.
The balance between different contributions to the high-temperature heat capacity of materials can hardly be assessed experimentally. In this study, we develop computationally highly efficient ab initio methods which allow us to gain insight into the relevant physical mechanisms. Some of the results have lead to breakdown of the common…
Smaller is stronger” is well known in micromechanics, but the properties far from the quasi-static regime and the nominal temperatures remain unexplored. This research will bridge this gap on how materials behave under the extreme conditions of strain rate and temperature, to enhance fundamental understanding of their deformation mechanisms. The…
In 2020, an interdepartmental software task force (STF) was formed to serve as a forum for discussion on topics related to software development and digital workflows at the MPIE. A central goal was to facilitate interdepartmental collaboration by co-developing and integrating workflows, aligning internally developed software, and rolling out…
ECCI is an imaging technique in scanning electron microscopy based on electron channelling applying a backscatter electron detector. It is used for direct observation of lattice defects, for example dislocations or stacking faults, close to the surface of bulk samples.