Schwarz, T.; Cojocaru-Mirédin, O.; Choi, P.; Würz, R.: Atomic-scale analysis of Cu(In,Ga)Se2 grain boundaries. 27th European Photovoltaic Solar Energy Conference and Exhibition, Frankfurt a. M., Germany (2012)
Schwarz, T.; Cojocaru-Mirédin, O.; Choi, P.; Würz, R.: Study of impurities redistribution inside the cigs absorber layer by atom probe tomography. Photovoltaic Technical Conference - Thin Film & Advanced Silicon Solutions 2012 (PVTC 2012), Aix-en-Provence, France (2012)
Cojocaru-Mirédin, O.; Choi, P.; Schwarz, T.; Würz, R.; Raabe, D.: Exploring the internal interfaces at the atomic-scale in CIGS thin-films solar cells. DPG-Frühjahrstagung Modern, Atom Probe Tomography, TU Berlin, Germany (2012)
Cojocaru-Mirédin, O.; Schwarz, T.; Choi, P.; Würz, R.; Raabe, D.: Exploring the internal interfaces at the atomic-scale in thin-film solar cells. Seminar Talk at Helmholtz Zentrum Berlin (HZB), Berlin, Germany (2012)
Changizi, R.; Lim, J.; Zhang, S.; Schwarz, T.; Scheu, C.: Characterization of KCa2Nb3O10. IAMNano 2019, International Workshop on Advanced and In-situ Microscopies of Functional Nanomaterials and Devices, Düsseldorf, Germany (2019)
Changizi, R.; Zhang, S.; Schwarz, T.; Scheu, C.: Cathodoluminescence and the structural study of Lanthanide-doped oxides. Workshop on Transmission Electron Microscopy (E-MAT), Antwerp, Belgium (2019)
Changizi, R.; Zhang, S.; Schwarz, T.; Scheu, C.: Study of the chemical composition and the luminescent spectra of Lanthanide-doped oxides. E-MRS 2019 Spring Meeting, Nice, France (2019)
Cojocaru-Mirédin, O.; Schwarz, T.; Choi, P.; Würz, R.; Raabe, D.: Characterization of Cu(In,Ga)Se2 grain boundaries using atom probe tomography. 2013 MRS Spring Meeting & Exhibit, San Francisco, CA, USA (2013)
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…