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
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
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…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…