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
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
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…