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)
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
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
Electron microscopes offer unique capabilities to probe materials with extremely high spatial resolution. Recent advancements in in situ platforms and electron detectors have opened novel pathways to explore local properties and the dynamic behaviour of materials.
In this ongoing project, we investigate spinodal fluctuations at crystal defects such as grain boundaries and dislocations in Fe-Mn alloys using atom probe tomography, electron microscopy and thermodynamic modeling [1,2].
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.