Cha, S. C.; Spiegel, M.: Fundamental studies on alkali chloride induced corrosion during combustion of biomass. Materials Science Forum 461–464, p. 1055 - 1055 (2004)
Cha, S. C.; Spiegel, M.: Studies on the local reactions of thermophoretic deposited alkali chloride particles on metal surfaces. In: NACE CORROSION‘ 04, 04533. NACE CORROSION‘ 04, New Orleans, LA, USA. (2004)
Cha, S. C.; Spiegel, M.: Local reaction between NaCl and KCl particles and metal surfaces. In: Proceedings of EUROCORR '04, 1. Proceedings of EUROCORR '04, Nice, France, 2004. (2004)
Cha, S. C.; Spiegel, M.: Studies on the local reactions of thermophoretic deposited alkali chloride particles on iron surfaces. NACE CORROSION‘ 04, New Orleans, LA, USA (2004)
Cha, S. C.; Spiegel, M.: Local reactions of KCl particles with Fe, Ni and Cr surfaces. EFC Workshop: Novel approaches to the improvement of high temperature corrosion resistance, DECHEMA, Frankfurt, Germany (2004)
Cha, S. C.; Spiegel, M.: Fundamental studies on alkali chloride induced corrosion during combustion of biomass. 6th Int. Symposium on High temperature Corrosion and Protection of Materials, Lez Embiez, France (2004)
Cha, S. C.; Vogel, D.; Spiegel, M.: Fundamental studies on alkali chloride induced corrosion during combustion of biomass. 18. Stahlkolloquium, Eurogress Aachen, Aachen, Germany (2003)
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.