Devulapalli, V.; Hans, M.; Prithiv, T. S.; Schneider, J. M.; Dehm, G.; Liebscher, C.: Unravelling the atomic structure and segregation of Ʃ13 [0001] tilt grain boundaries in titanium by advanced STEM. Microscopy Conference 2021 & Multinational Conference on Microscopy 2021, Vienna, Austria (2021)
Sahu, R.; Völker, B.; Stelzer , B.; Chen, X.; Bliem , P.; Hans, M.; Primetzhofer, D.; Schneider, J. M.; Scheu, C.: Phase transitions in Cr2AlC thin films by in situ TEM heating experiment. Fifth Conference on Frontiers of Aberration Corrected Electron Microscopy, PICO 2019, Vaalsbroek, The Netherlands (2019)
Changizi, R.: Structural Analysis and Correlative Cathodoluminescence Investigations of Pr (doped) Niobates. Dissertation, Georessourcen und Materialtechnik, RWTH Aachen (2022)
Yilmaz, C.: Influence of Processing Parameters, Crystallography and Chemistry of Defects on the Microstructure and Texture Evolution in Grain-Oriented Electrical Steels. Dissertation, RWTH Aachen, Germany (2022)
Prithiv, T. S.: Grain boundary segregation of boron and carbon and their local chemical effects on the phase transformations in steels. Dissertation, Faculty of Georesources and Materials Engineering of the RWTH Aachen, Germany (2021)
Evertz, S.: Quantum mechanically guided design of mechanical properties and topology of metallic glasses. Dissertation, Fakultät für Georessourcen und Materialtechnik, RWTH Aachen (2020)
Keuter, P.: Design of materials with anomalous thermophysical properties and desorption-assisted phase formation of intermetallic thin films. Dissertation, RWTH Aachen University (2020)
Sysoltseva, M.: Characterization of aerosols and nanoparticles released during various indoor and outdoor human activities. Dissertation, RWTH Aachen University (2018)
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
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.
New product development in the steel industry nowadays requires faster development of the new alloys with increased complexity. Moreover, for these complex new steel grades, it is more challenging to control their properties during the process chain. This leads to more experimental testing, more plant trials and also higher rejections due to…
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…
Advanced microscopy and spectroscopy offer unique opportunities to study the structure, composition, and bonding state of individual atoms from within complex, engineering materials. Such information can be collected at a spatial resolution of as small as 0.1 nm with the help of aberration correction.