Raabe, D.; Li, Y. J.; Choi, P.; Sauvage, X.; Kirchheim, R.; Hono, K.: Atomic-scale mechanisms in mechanical alloying - Towards the limits of strength in ductile nano-structured bulk materials. International Symposium on Metastable, Amorphous and Nanostructured Materials (ISMANAM) 2010, ETH Zürich, Switzerland (2010)
Winning, M.; Khorashadizadeh, A.; Raabe, D.; Zaefferer, S.: Recrystallization and grain growth in ultra fine grained materials produced by high pressure torsion. Recrystallization & Grain Growth 4 RX&GG, Sheffield, UK (2010)
Dmitrieva, O.; Dondl, P. W.; Müller, S.; Svirina, J. V.; Raabe, D.: Microstructural analysis of the deformation laminates in single crystals: Experiments and theory. European Congress on Computational Mechanics ECCM 2010, Paris, France (2010)
Eisenlohr, P.; Kords, C.; Roters, F.; Raabe, D.: A non-local constitutitve hardening model based on polar dislocation densities. IV European Conf. Comp. Mech. ECCM 2010, Paris, France (2010)
Zambaldi, C.; Raabe, D.; Roters, F.: Quantifying the plastic anisotropy of gamma-TiAl by axisymmetric indentation. International TiAl Workshop, Birmingham, UK (2010)
Krüger, T.: Simulation of a dense suspension of red blood cells. TU Braunschweig, Institut für rechnergestützte Modellierung im Bauingenieurwesen, Braunschweig, Germany (2010)
Cojocaru-Mirédin, O.; Choi, P.; Wuerz, R.; Raabe, D.: Atomic-scale distribution of impurities in CuInSe2-based thin-film solar cells. 15th GLADD meeting 2010, Delft, The Netherlands (2010)
Roters, F.; Tjahjanto, D. D.; Eisenlohr, P.; Raabe, D.: Homogenisierung von Mehrphasenwerkstoffen zur Simulation von Umformprozessen. 13. Workshop Simulation in der Umformtechnik, Modellierung von Verfestigungsmechanismen in der Blechumformung, Institut für Umformtechnik, Universität Stuttgart, Germany (2010)
Friák, M.; Counts, W. A.; Raabe, D.; Neugebauer, J.: Fundamental Materials-Design Limits in Ultra Light-Weight Mg-Li Alloys Determined from Quantum-Mechanical Calculations. 139th Annual Meeting of the Minerals, Metals and Materials Society (TMS), Seattle, WA, USA (2010)
Tillack, N.; Hickel, T.; Raabe, D.; Neugebauer, J.: Kinetic Monte Carlo simulations and ab initio studies of nano-precipitation in ferritic steels. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Dmitrieva, O.; Dondl, P. W.; Müller, S.; Svirina, J. V.; Raabe, D.: Orientation patterning in copper single crystals: Experimental observation and laminate analysis in dislocation dynamics. 9th GAMM Seminar on Microstructures 2010, University of Stuttgart, Germany (2010)
Eisenlohr, P.; Kords, C.; Roters, F.; Raabe, D.: A non-local crystal plasticity model based on polar dislocation densities. 16th Int. Symp. on Plasticity and Its Current Applications, St. Kitts, St. Federation of Saint Kitts and Nevis (2010)
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) 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.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…