Choi, W. S.; De Cooman, B. C.: Effect of Carbon on the Damping Capacity and Mechanical Properties of Thermally Trained Fe–Mn Based High Damping Alloys. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 700, pp. 641 - 648 (2017)
Lee, C. W.; Choi, W. S.; Cho, Y. R.; De Cooman, B. C.: Direct Resistance Joule Heating of Al-10 pct Si-Coated Press Hardening Steel. Metallurgical and Materials Transactions A 47 (6), pp. 2875 - 2884 (2016)
Lee, C. W.; Choi, W. S.; Cho, Y. R.; De Cooman, B. C.: Microstructure evolution of a 55 wt.% Al–Zn coating on press hardening steel during rapid heating. Surface and Coatings Technology 281, pp. 35 - 43 (2015)
Choi, W. S.; De Cooman, B. C.; Sandlöbes, S.; Raabe, D.: Size and orientation effects in partial dislocation-mediated deformation of twinning-induced plasticity steel micro-pillars. Acta Materialia 98, 12304, pp. 391 - 404 (2015)
Choi, W. S.: Deformation mechanisms and the role of interfaces in face-centered cubic Fe-Mn-C micro-pillars. Dissertation, RWTH Aachen, Aachen, Germany (2018)
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…
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…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.