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
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
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…
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.