Frommeyer, G.; Knippscheer, S.; Rablbauer, R.: Struktur und Eigenschaften von Titanaluminiden (TiAl) - Leichtbaulegierungen für High Performance Motorkomponenten. Clauthal Industriekolloquium Sonderforschungsbereich 675, Clausthal (2007)
Frommeyer, G.; Rablbauer, R.; Brokmeier, K.: Entwicklung und Eigenschaften ultrahochfester und supraduktiler Stähle für den Fahrzeugbau. Clausthal Industriekolloquium Sonderforschungsbereich 675, Clausthal (2007)
Rablbauer, R.; Dönecke, K.; Hassel, A. W.; Frommeyer, G.: Mechanical Properties and Corrosion Behaviour of Ferritic Stainless Al Cr Steels. EUROMAT 2007, European Congress and Exhibition an Advanced Materials and Processes, Nürnberg, Germany (2007)
Hassel, A. W.; Lill, K. A.; Rablbauer, R.; Stratmann, M.: Corrosion and passivity of FeAlCr light weight steels. 58th Annual Meeting of the International Society of Electrochemistry, Banff, Canada (2007)
Frommeyer, G.; Rablbauer, R.; Fischer, R.: Properties of refractory NiAl(Cr, Mo, Re) alloys in relation to atomic defects and microstructures. TMS 2007 Annual Meeting, Orlando, FL, USA (2007)
Frommeyer, G.; Rablbauer, R.: Properties of refractory NiAl-(Cr, Mo, Re) alloys in relation to Atomic Defects and Microstructures. High Temperature Materials Chemistry, Wien, Austria (2006)
Rablbauer, R.: Mikrostrukturen und Eigenschaften quasibinärer eutektischer NiAl-Re und NiAl-(Ti,Zr,Hf)B2-Legierungen für den Hochtemperatureinsatz. Dissertation, RWTH Aachen, Aachen, Germany (2006)
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.