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
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.