Benedikt, U.; Schneider, W.; Auer, A. A.: Oxygen Reduktion Reaction On Pt-Nanoparticles: A Density-Functional Based Study II. Electrochemistry 2010: From Microscopic Understanding to Global Impact, Ruhr-Universität Bochum, Bochum, Germany (2010)
Schneider, W.; Auer, A. A.; Mehring, M.: Interactions of Main Group Elements and Aromatic Systems - A Theoretical Study. STC 2010 - Quantum Chemistry for Large and Complex Systems: From Theory to Algorithms and Applications, Münster, Germany (2010)
Schneider, W.; Benedikt, U.; Auer, A. A.: Oxygen Reduktion Reaction on Pt-Nanoparticles: A Density-Functional Based Study I. Electrochemistry 2010: From Microscopic Understanding to Global Impact, Ruhr-Universität Bochum, Bochum, Germany (2010)
Auer, A. A.: Grundlagen von Elektronenstrukturrechnungen. Lecture: Kompaktkurs "Grundlagen von Elektronenstrukturrechnungen", Institut für Chemie, TU Chemnitz, Germany, April 12, 2010 - July 23, 2010
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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.