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)
Aghajani, A.: Evolution of microstructure during long-term creep of a tempered martensite ferritic steel. Dissertation, Ruhr-University Bochum, Bochum (2009)
Huynh, N. N.: Modelling of Microstructure Evolution and Crack Opening in FCC Materials under Tension. Dissertation, Wollongong University, Wollongong New South Wales [Australia] (2009)
Liu, T.: High Resolution Investigation of Texture Formation Process in Diamond Films and the Related Macro-Stresses. Dissertation, Ruhr-University Bochum, Bochum [Germany] (2009)
Thomas, I.: Untersuchung metallphysikalischer und messtechnischer Grundlagen zur Rekristallisation und Erholung mikrolegierter IF Stähle. Dissertation, RWTH Aachen, Aachen, Germany (2008)
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
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.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.