Prokopčáková, P.; Švec, M.; Palm, M.: Microstructural evolution and creep of Fe–Al–Ta alloys. International Journal of Materials Research 107 (5), pp. 396 - 405 (2016)
Li, X.; Prokopčáková, P.; Palm, M.: Microstructure and mechanical properties of Fe–Al–Ti–B alloys with additions of Mo and W. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 611, pp. 234 - 241 (2014)
Prokopčáková, P.; Švec, M.; Lotfian, S.; Palm, M.: Microstructure – property relationships of iron aluminides. 64. Metallkunde-Kolloquium Montanuniversität Leoben, Lech am Arlberg, Austria (2018)
Li, X.; Prokopčáková, P.; Palm, M.: Microstructure and mechanical properties of Fe–Al–Ti–B-based alloys with addition of Mo and W. Intermetallics 2013, Educational Center Kloster Banz, Bad Staffelstein, Germany (2013)
Prokopčáková, P.; Palm, M.: Precipitation and transformation kinetics in Fe–Al–Ta alloys. Intermetallics 2013, Educational Center Kloster Banz, Bad Staffelstein, Germany (2013)
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
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.
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…