Steinmetz, D.: A constitutive model of twin nucleation and deformation twinning in High-Manganese Austenitic TWIP steels. Dissertation, RWTH Aachen, Aachen, Germany (2013)
Takahashi, T.: On the growth and mechanical properties of non-oxide perovskites and the spontaneous growth of soft metal nanowhiskers. Dissertation, RWTH Aachen, Aachen, Germany (2013)
Hostert, C.: Towards designing elastic and magnetic properties of Co-based thin film metallic glasses. Dissertation, RWTH Aachen, Aachen, Germany (2012)
Britton, B.: Measurement of residual elastic strain and lattice rotations with high resolution electron backscatter diffraction. Dissertation, Oxford University, Oxford, UK (2011)
Song, J.: Microstructure and properties of interfaces formed by explosion cladding of Titanium to low Carbon steel. Dissertation, Ruhr-University Bochum, Bochum, Germany (2011)
Voß, S.: Mechanische Eigenschaften von Laves-Phasen in Abhängigkeit von Kristallstruktur und Zusammensetzung am Beispiel der Systeme Fe–Nb–Al und Co–Nb. Dissertation, RWTH Aachen, Aachen, Germany (2011)
Springer, H.: Fundamental Research into the Role of Intermetallic Phases in Joining of Aluminium Alloys to Steel. Dissertation, Ruhr-University Bochum, Bochum, Germany (2011)
Demir, E.: Constitutive modeling of fcc single crystals and experimental study of mechanical size effects. Dissertation, RWTH Aachen, Aachen, Germany (2010)
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
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
The utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
At finite temperatures lattice vibrations and magnetic fluctuations are coexisting. To study potential coupling effects, a method is required, which considers both, the spin and the lattice degrees of freedom, simultaneously. We develop and implement such a method by combining atomistic spin dynamics with ab initio molecular dynamics.