Li, Y.; Choi, P.-P.; Goto, S.; Borchers, C.; Raabe, D.; Kirchheim, R.: Atomic scale investigation of redistribution of alloying elements in pearlitic steel wires upon cold-drawing and annealing. Ultramicroscopy 132, pp. 233 - 238 (2013)
Chen, Y. Z.; Herz, A.; Li, Y. J.; Borchers, C.; Choi, P.; Raabe, D.; Kirchheim, R.: Nanocrystalline Fe–C alloys produced by ball milling of iron and graphite. Acta Materialia 61 (9), pp. 3172 - 3185 (2013)
Peranio, N.; Li, Y. J.; Roters, F.; Raabe, D.: Microstructure and texture evolution in dual-phase steels: Competition between recovery, recrystallization, and phase transformation. Materials Science and Engineering A 527 (16-17), pp. 4161 - 4168 (2010)
Blum, W.; Li, Y. J.; Durst, K.: Stability of ultrafine-grained Cu to subgrain coarsening and recrystallization in annealing and deformation at elevated temperatures. Acta Materialia 57, pp. 5207 - 5217 (2009)
Peng, Z.; Gault, B.; Raabe, D.; Ashton, M. W.; Sinnott, S. B.; Choi, P.-P.; Li, Y.: On the Multiple Event Detection in Atom Probe Tomography. In: MicroscopyMicroanalysis, Vol. 23, pp. 618 - 619. Microscopy & Microanalysis 2017, St. Louis, MO, USA, August 06, 2017 - August 10, 2017. (2017)
Morsdorf, L.; Mayweg, D.; Li, Y.; Diederichs, A.; Raabe, D.; Herbig, M.: Moving cracks and missing C atoms – chasing the mysteries of white etching areas in bearings. 2nd meeting of "Metallurgical Metallurgy for Plasticity-driven Damage and Fracture" research forum 2021 (ISIJ), virtual (2021)
Herbig, M.; Parra, C.D.; Lu, W.; Toji, Y.; Liebscher, C.; Li, Y.; Goto, S.; Dehm, G.; Raabe, D.: Where does the carbon atom go in steel? – Insights gained by correlative transmission electron microscopy and atom probe tomography. International Symposium on Steel Science 2017, Kyoto, Japan (2017)
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
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.