Raabe, D.; Gutierrez-Urrutia, I.: Effect of strain path and texture on microstructure in Fe–22 wt.% Mn–0.6 wt.% C TWIP steel. 1st International Conference on High Manganese Steels 2011, Seoul, South Korea (2011)
Steinmetz, D.; Roters, F.; Eisenlohr, P.; Raabe, D.: A dislocation density-based constitutive model for TWIP steels. 1st International Conference on High Manganese Steels, Seoul, South Korea (2011)
Wu, X.; Erbe, A.; Fabritius, H. O.; Raabe, D.: Structure and function of the biological photonic crystals in the scales of a beetle. European Materials Research Society E-MRS Spring Meeting 2011, May 2011, Nice, France (2011)
Raabe, D.: Atomistic understanding of hundred-thousand tons. Bernkastel-Kues Workshop on Possibilities and Limitations of Quantitative Materials Modeling and Characterization, Bernkastel-Kues, Germany (2011)
Tasan, C. C.; Zaefferer, S.; Raabe, D.: Deformation induced dislocation interactions near martensite-ferrite phase boundaries. MRS Fall Meeting 2011, San Francisco, CA, USA (2011)
Roters, F.; Eisenlohr, P.; Raabe, D.: Eine modulare Kristallplastizitäts Implementierung für Anwendungen vom Einkristall bis zum Bauteil. 14. Workshop Simulation in der Umformtechnik, Dortmund, Germany (2011)
Eisenlohr, P.; Roters, F.; Kords, C.; Diehl, M.; Lebensohn, R.A.; Raabe, D.: Combining characterization and simulation of grain-scale plasticity in three dimensions. EBSD Conference 2011 of the Royal Microscopical Society, Düsseldorf, Germany (2011)
Fabritius, H.; Nikolov, S.; Hild, S.; Ziegler, A.; Friák, M.; Neugebauer, J.; Raabe, D.: Mechanical Design Principles of Crustacean Cuticle evaluated experimentally and by Ab initio-based Multiscale Simulations. Institute Colloquium, Institut de Mécanique des Fluides et des Solides, CNRS, Strasbourg, France (2011)
Roters, F.; Eisenlohr, P.; Tjahjanto, D. D.; Kords, C.; Raabe, D.: A modular crystal plasticity framework applicable from component to single grain scale. IUTAM Symposium Linking Scales in Computations: From Microstructure to Macro-scale Properties, Pensacola, FL, USA (2011)
Eisenlohr, P.; Kords, C.; Roters, F.; Raabe, D.: How to capture mesoscale plastic strain gradient effects in a physical way -- a look at dislocation mechanics and computational aspects. MST Symposium, Los Alamos National Laboratory, Los Alamos, NM, USA (2011)
Krüger, T.: Hybrid LB-FEM modeling of dense suspensions of deformable particles under shear. SFB TR6 Seminar, Institut für Theoretische Physik II, HHU Düsseldorf, Germany (2011)
Sandlöbes, S.; Friák, M.; Dick, A.; Zaefferer, S.; Pei, Z.; Neugebauer, J.; Raabe, D.: Combining ab initio calculations and high-resolution experiments to understand advanced Mg alloys. German-Korean workshop on the “Production and industrial applications of semi-finished Mg products”, Irsee, Germany (2011)
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
Advanced microscopy and spectroscopy offer unique opportunities to study the structure, composition, and bonding state of individual atoms from within complex, engineering materials. Such information can be collected at a spatial resolution of as small as 0.1 nm with the help of aberration correction.
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.