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
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…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
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.