Ayodele, S. G.: Lattice Boltzmann modeling of advection-diffusion-reaction equations in non-equilibrium transport processes. Dissertation, RWTH Aachen, Aachen, Germany (2013)
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)
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
Hydrogen in aluminium can cause embrittlement and critical failure. However, the behaviour of hydrogen in aluminium was not yet understood. Scientists at the Max-Planck-Institut für Eisenforschung were able to locate hydrogen inside aluminium’s microstructure and designed strategies to trap the hydrogen atoms inside the microstructure. This can…
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…
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…