Ma, D.; Friák, M.; Raabe, D.; Neugebauer, J.: Multi-physical alloy approaches to solid solution strengthening of Al. 1st International Conference on Material Modelling, Dortmund, Germany (2009)
Zambaldi, C.; Roters, F.; Zaefferer, S.; Raabe, D.: Crystal plasticity modeling for property extraction and the microstructure properties relation of intermetallic -TiAl nased alloys. 1st International Conference on Material Modelling (ICMM 1), Dortmund, Germany (2009)
Calcagnotto, M.; Ponge, D.; Raabe, D.: Effect of grain refinement to 1µm on the mechanical properties of dual-phase steels. European Congress and Exhibition on Advanced Materials and Processes (EUROMAT 2009), Glasgow, UK (2009)
Khorashadizadeh, A.; Winning, M.; Raabe, D.: Microstructure and Texture evolution during high pressure torsion of a CuZr alloy. Euromat 2009, Glasgow, UK (2009)
Ma, D.; Friák, M.; Raabe, D.; Neugebauer, J.: Investigation of solid solution strengthening by density functional theory. EUROMAT 2009, Glasgow, Scotland, UK (2009)
Peranio, N.; Schulz, S.; Li, Y. J.; Roters, F.; Raabe, D.; Masimov, M.; Springub, G.: Processing of dual-phase steel for automotive applications: Microstructure and texture evolution during annealing and numerical simulation by cellular automata. Euromat 2009 (European Congress and Exhibition on Advanced Materials and Processes), Glasgow, UK (2009)
Herrera, C.; Ponge, D.; Raabe, D.: Hot workability of 1.4362 duplex stainless steel. Euromat 2009 (European Congress and Exhibition on Advanced Materials and Processes), Glasgow, Scotland, UK (2009)
Ma, D.; Friák, M.; Raabe, D.; Neugebauer, J.: Investigation of solid solution strengthening by density functional theory. 11-th National Congress on Theoretical and Applied Mechanics, Borovets, Bulgaria (2009)
Friak, M.; Counts, W. A.; Raabe, D.; Neugebauer, J.: Using Ab Initio Calculations in Designing BCC Mg–Li Alloys for Ultra Light-Weight Applications. THERMEC'2009: International Conference on PROCESSING & MANUFACTURING OF ADVANCED MATERIALS, Berlin, Germany (2009)
Gutierrez-Urrutia, I.; Zaefferer, S.; Raabe, D.: Effect of grain size and heterogeneous strain distribution on deformation twinning in a Fe–22Mn–0.6C TWIP steel. THERMEC 2009, Berlin, Germany (2009)
Eisenlohr, P.; Tjahjanto, D. D.; Roters, F.; Raabe, D.: Analysis of the relaxed grain cluster polycrystal homogenization scheme in texture prediction. 15th International Conference on the Strength of Materials (ICSMA-15), Dresden, Germany (2009)
Friak, M.; Counts, W. A.; Raabe, D.; Neugebauer, J.: Theory guided design of bcc Mg-Li alloys for ultra-light weight applications. ICSMA 15: International Conference on the Strength of Materials, Dresden, Germany (2009)
Khorashadizadeh, A.; Winning, M.; Raabe, D.: Microstructure and Texture evolution during high pressure torsion of a CuZr alloy. 15th International Conference on the Strength of Materials ICSMA 2009, Dresden, Germany (2009)
Ma, D.; Friák, M.; Raabe, D.; Neugebauer, J.: Multi-physical alloy approaches to solid solution strengthening of Al. 15th International Conference of Strength of Materials, Dresden, Germany (2009)
Ma, D.; Raabe, D.; Roters, F.; Maaß, R.; van Swygenhoven, H.: Crystal plasticity finite element study on small scale plasticity of micropillars. 15th International Conference on the Strength of Materials (ICSMA-15), Dresden, Germany (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
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.
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…