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)
Zhang, S.; Diehl, L.; Lotsch, B. V.; Scheu, C.: NiOx cocatalysts on nanosheets for photocatalytic water splitting. nanoGe Fall Meeting 2018, Torremolinos, Spain (2018)
Zhang, S.; Scheu, C.: Supervision on multi-dimensional data from electron microscopy. BiGmaxWorkshop 2018 on Big-Data-DrivenMaterials Science, Irsee, Germany (2018)
Garzón-Manjón, A.; Zahn, G.; Kuchshaus, C.; Zhang, S.; Ludwig, A.; Scheu, C.: Observation of the Structural Transformation of Multinary Nanoparticles by In-situ Transmission Electron Microscopy. EMAT Workshop on Transmission Electron Microscopy, University of Antwerp, Antwerp, Belgium (2017)
Zhang, S.; Mio, A.; Cagnoni, M.; Zhu, M.; Cojocaru-Mirédin, O.; Wuttig, M.; Scheu, C.: Valence EELS investigation on GeSexTe1-x phase change material. EDGE 2017: Enhanced Data Generated by Electrons, 8th International Workshop on Electron Energy Loss Spectroscopy and Related Techniques, Okuma, Okinawa, Japan (2017)
Bueno Villoro, R.: Microstructure, thermal stability and defect phonon scattering in AgSbTe2 thermoelectrics. Master, Universitat Autònoma de Barcelona, Spain (2019)
Bueno Villoro, R.: Effect of the processing route on the microstructure of Ag18Sb29Te53 (AST) based thermoelectrics. Bachelor, Universitat Autònoma de Barcelona, Spain (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
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.