Schemmann, L.: The inheritance of different microstructures found after hot rolling on the properties of a completely annealed dual phase steel. Dissertation, Fakultät für Georessourcen und Materialtechnik, RWTH Aachen, Aachen, Germany (2014)
Jäpel, T.: Feasibility study on local elastic strain measurements with an EBSD pattern cross correlation method in elastic-plastically deforming material. Dissertation, RWTH Aachen, Aachen, Germany (2014)
Pradeep, K. G.: Atomic scale investigation of clustering and nanocrystallization in FeSiNbB(Cu) soft magnetic amorphous alloys. Dissertation, RWTH-Aachen, Aachen, Germany (2014)
Wu, X.: Structure-property-relations of cuticular photonic crystals evolved by different beetle groups (Insecta, Coleoptera). Dissertation, RWTH-Aachen, Aachen, Germany (2014)
Kords, C.: On the role of dislocation transport in the constitutive description of crystal plasticity. Dissertation, RWTH Aachen, Aachen, Germany (2013)
Asgari, M.: Pulsed Plasma Nitriding - Effect on Hydrogen Embrittlement and Hydrogen Adsorption and Diffusion. Dissertation, Norwegian University of Science and Technology NTNU, Trondheim, Norway (2013)
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)
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 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.
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…
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…