Palm, M.; Engberding, N.; Stein, F.; Kelm, K.; Irsen, S. H.: Formation of Phases, Phase Stability and Evolution of the Microstructure in Al-rich Ti–Al Alloys. MRS Fall Meeting 2010, Boston, MA, USA (2010)
Renner, F. U.; Vogel, D.; Vogel, A.; Palm, M.: Main Scale formation of Fe-Al based model alloys in steam. International Symposium on High-temperature Oxidation and Corrosion, Zushi, Japan (2010)
Voß, S.; Stein, F.; Palm, M.; Raabe, D.: Compositional Dependence of the Mechanical Properties of Laves Phases in the Fe–Nb(–Al) and Co–Nb(–Al) Systems. MRS Fall Meeting 2010, Boston, MA, USA (2010)
Voß, S.; Stein, F.; Palm, M.; Raabe, D.: Mechanical Properties of Laves Phases in the Systems Fe–Nb(–Al) and Co–Nb(–Al) using Polycrystalline, Single-Phase Material. Materiels Science and Engineering 2010 (MSE), Darmstadt, Germany (2010)
Hotař, A.; Palm, M.: Oxidation resistance of Fe–25Al–2Ta in synthetic air. 5th Discussion Meeting on the Development of Innovative Iron Aluminium Alloys (FEAL 2009), Prague, Czech Republic (2009)
Krein, R.; Palm, M.; Heilmaier, M.: Microstructure, Strength and Ductility of some Fe–Al–Ti–based Alloys. 5th Discussion Meeting on the Development of Innovative Iron Aluminium Alloys (FEAL 2009), Prague, Czech Republic (2009)
Friák, M.; Deges, J.; Krein, R.; Stein, F.; Palm, M.; Frommeyer, G.; Neugebauer, J.: Combining Experimental and Computational Methods in the Development of Fe3Al-based Materials. 5th Discussion Meeting on the Development of Innovative Iron Aluminium Alloys (FEAL 2009), Prague, Czech Republic (2009)
Hanus, P.; Palm, M.; Krein, R.; Bauer-Partenheimer, K.; Janschek, P.: High-temperature mechanical properties of forged steam turbine blade. 5th Discussion Meeting on the Development of Innovative Iron Aluminium Alloys (FEAL 2009), Prague, Czech Republic (2009)
Vogel, D.; Hotař, A.; Blum, C.; Palm, M.; Renner, F. U.: Corrosion behaviour of Fe–Al(–X) alloys in steam. 5th Discussion Meeting on the Development of Innovative Iron Aluminium Alloys (FEAL 2009), Prague, Czech Republic (2009)
Palm, M.: Recent Progress in the Development of Fe–Al-based Materials. THERMEC’ 2009 - International Conference on Processing & Manufacturing of Advanced Materials, Berlin, Germany (2009)
He, C.; Stein, F.; Palm, M.: Thermodynamic Assessment of the Nb–Co and Nb–Co–Al System. 2nd Sino-German Symposium on Computational Thermodynamics and Kinetics and Their Applications to Solidification, Kornelimünster, Aachen, Germany (2009)
Stein, F.; Prymak, O.; Dovbenko, O. I.; He, C.; Palm, M.; Schuster, J. C.: Investigation of Phase Diagrams of Laves Phase Containing Binary and Ternary Nb–TM(–Al) Systems with TM=Cr,Fe,Co. 2nd Sino-German Symposium on Computational Thermodynamics and Kinetics and Their Applications to Solidification, Kornelimünster, Aachen, Germany (2009)
Vogel, S. C.; Eumann, M.; Palm, M.; Stein, F.: Investigation of the crystallographic structure of the ε phase in the Fe–Al system by high-temperature neutron diffraction. TMS 2009 Annual Meeting, San Francisco, CA, USA (2009)
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.