Elstnerová, P.; Friák, M.; Šob, M.; Neugebauer, J.: Prediction of the Ground State of NiN and Ni2N within the Quantum Mechanical Study. Multiscale Design of Advanced Materials, Brno, Czech Republic (2011)
Elstnerová, P.; Friák, M.; Neugebauer, J.: Enhancing mechanical properties of calcite by Mg substitutions - A Quantum-Mechanical Study. 12th International Symposium on Physics of Materials, Prague, Czech Republic (2011)
Elstnerová, P.; Friák, M.; Neugebauer, J.: Enhancing mechanical properties of calcite by Mg substitutions - A Quantum-Mechanical Study. Multi-Scale Mechanics of Biological and Bio-Inspired Hierarchical Materials and Surfaces, Glasgow, UK (2011)
Elstnerová, P.; Friák, M.; Neugebauer, J.: Enhancing mechanical properties of calcite by Mg substitutions - A quantum-mechanical study. EuroBioMat - European Symposium on Biomaterials and Related Areas, Jena, Germany (2011)
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) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.