Li, Y.; Ponge, D.; Choi, P.-P.; Raabe, D.: Segregation of boron at prior austenite grain boundaries in a quenched martensitic steel studied by atom probe tomography. Scripta Materialia 96, S. 13 - 16 (2015)
Jägle, E. A.; Choi, P.-P.; Raabe, D.: The maximum separation cluster analysis algorithm for atom-probe tomography: Parameter determination and accuracy. Microscopy and Microanalysis 20 (6), S. 1662 - 1671 (2014)
Jägle, E. A.; Choi, P.-P.; Van Humbeeck, J.; Raabe, D.: Precipitation and austenite reversion behavior of a maraging steel produced by selective laser melting. Journal of Materials Research 29 (17), S. 2072 - 2079 (2014)
Haley, D.; Merzlikin, S. V.; Choi, P.-P.; Raabe, D.: Atom probe tomography observation of hydrogen in high-Mn steel and silver charged via an electrolytic route. International Journal of Hydrogen Energy 39 (23), S. 12221 - 12229 (2014)
Pradeep, K. G.; Herzer, G.; Choi, P.; Raabe, D.: Atom probe tomography study of ultrahigh nanocrystallization rates in FeSiNbBCu soft magnetic amorphous alloys on rapid annealing. Acta Materialia 68, S. 295 - 309 (2014)
Toji, Y.; Matsuda, H.; Herbig, M.; Choi, P.; Raabe, D.: Atomic-scale analysis of carbon partitioning between martensite and austenite by atom probe tomography and correlative transmission electron microscopy. Acta Materialia 65, S. 215 - 228 (2014)
Song, W.; Choi, P.; Inden, G.; Prahl, U.; Raabe, D.; Bleck, W.: On the Spheroidized Carbide Dissolution and Elemental Partitioning in High Carbon Bearing Steel 100Cr6. Metallurgical and Materials Transactions A 45 (2), S. 595 - 606 (2014)
Wissenschaftler des Max-Planck-Instituts für Eisenforschung entwickeln ein neues maschinelles Lernmodell für korrosionsresistente Legierungen. Und veröffentlichen ihre Ergebnisse in der Fachzeitschrift Science Advances
Düsseldorfer Max-Planck-Wissenschaftler diskutieren den Einsatz künstlicher Intelligenz in der Materialwissenschaft und veröffentlichen Review-Artikel in der Fachzeitschrift Nature Computational Science