Winning, M.: 3D EBSD measurements in ultra fine grained Cu 0.17wt% Zr obtained from ECAP. Seminar talk, Carnegie Mellon University, Pittsburgh, PA, USA (2008)
Khorashadizadeh, A.; Raabe, D.; Winning, M.: Three-dimensional tomographic EBSD measurements of the crystal topology in heavily deformed ultra fine grained pure Cu and Cu–0.17wt%Zr obtained from ECAP and HPT. DPG Frühjahrstagung 2008, Berlin, Germany (2008)
Winning, M.: Grain boundary engineering by application of mechanical stresses. The Third International Conference on Recrystallization and Grain Growth, Jeju Island, South Korea (2007)
Winning, M.; Raabe, D.; Brahme, A.: A texture component model for predicting recrystallization textures. The Third International Conference on Recrystallization and Grain Growth, Jeju Island, South Korea (2007)
Winning, M.: Korngrenzen auf Wanderschaft: Wege zum Design metallischer Werkstoffe. Colloquia Academia, Akademie der Wissenschaften und der Literatur, Mainz, Germany (2007)
Winning, M.: Korngrenzen auf Wanderschaft: Wege zum Design metallischer Werkstoffe. Colloquia Academia, Akademie der Wissenschaften und der Literatur, Mainz, Germany (2006)
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…