Schwarz, T.; Hsu, Y.-L.; Dumont, M.; Garcia-Giner, V.; Jung, C.; Porter, A.; Gault, B.: Atom Probe Tomography - a new approach to provide new insights into the interfacial reaction at the liquid-solid interface on the atomic scale. Institute Seminar FAU Erlangen-Nuremberg, Department of Materials Science, Erlangen-Nuremberg, Germany (2025)
Schwarz, T.: Improvement in data quality of biominerals by in-situ metallic coating of APT specimens. Atom Probe Tomography & Microscopy (APT&M) 2025, Chennai, India (2025)
Schwarz, T.: Atom Probe Tomography - the ability to analyse materials with 3D compositional mapping at near atomic resolution. Seminar Frauenhofer Institute for Manufacturing Technology and Advanced Materials IFAM, Dresden, Germany (2025)
Schwarz, T.: Atom probe tomography - a new approach to understand corrosion mechanisms at liquid-solid interface on the near-atomic scale. Institute for Bulidng Materials Seminar, ETH Zurich, Zurich, Switzerland (2025)
Schwarz, T.; Hsu, Y.-L.; Dumont, M.; Garcia-Giner, V.; Jung, C.; Porter, A.; Gault, B.: Atom probe tomography – a new technique to understand biominerals/materials on the atomic scale. 8th BioMAT 2025 - Symposium on Biomaterials and Related Areas, Weimar, Germany (2025)
Schwarz, T.: Cryo-APT opens up new possibilities in materials analysis. From the atom to the bulk: Materials characterization with CAMECA, Gatan, and EDAX user-day, Weiterstadt, Germany (2025)
Woods, E.; Aota, L. S.; Schwarz, T.; Kim, S.-H.; Douglas, J. O.; Singh, M. P.; Gault, B.: In-situ cryogenic protective layers and metal coatings in cryogenic FIB. IMC20 - 20th International Microscopy Congress - Pre-congress workshop, Cryogenic Atom Probe Tomography, Busan, South Korea (2023)
Schwarz, T.: Atom probe tomography: from water to complex liquids to the application of studying liquid-solid interfaces at the near atomic level. APT&M 23, Leuven, Belgium (2023)
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…
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.