Krüger, T.: Mesoscopic modeling of red blood cell dynamics. Oberseminar: Theorie komplexer Systeme WS 2010, Institut für Theoretische Physik, Universität Heidelberg, Germany (2010)
Fabritius, H.; Nikolov, S.; Hild, S.; Ziegler, A.; Friák, M.; Neugebauer, J.; Raabe, D.: Design Principles of Load-bearing Cuticle from different Crustacean Species evaluated experimentally and by Ab initio-based Multiscale Simulations. MRS Fall Meeting 2010, Boston, MA, USA (2010)
Krüger, T.: Mesoscopic Modeling of the dynamics of red blood cells. Seminar talk at Ruhr-Universität Bochum, Lehrstuhl für Biophysik, Bochum, Germany (2010)
Diehl, M.; Eisenlohr, P.; Roters, F.; Lebensohn, R. A.; Raabe, D.: Solving Elastoviscoplastic Mechanical Boundary Value Using a Spectral Method. Evaluierung des Christian-Doppler-Laboratorium für Werkstoffmechanik von Hochleistungslegierungen, Garching, Germany (2010)
Raabe, D.; Fabritius, H.; Nikolov, S.; Petrov, M.; Friak, M.; Elstnerová, P.; Neugebauer, J.: Ab initio based multiscale modeling of biological composites: Example of the exoskeleton of the lobster Homarus Americanus. Colloquium Lecture, Center for Nanoscience CeNS, Ludwigs-Maximilians Universität München, München, Germany (2010)
Voß, S.; Stein, F.; Palm, M.; Raabe, D.: Compositional Dependence of the Mechanical Properties of Laves Phases in the Fe–Nb(–Al) and Co–Nb(–Al) Systems. MRS Fall Meeting 2010, Boston, MA, USA (2010)
Calcagnotto, M.; Ponge, D.; Adachi, Y.; Raabe, D.: Effect of grain refinement to 1 µm on deformation and fracture mechanisms in ferrite/martensite dual-phase steels. 2nd International Conference on Super-High Strength Steels SHSS, Peschiera del Garda, Italy (2010)
Friák, M.; Counts, W. A.; Raabe, D.; Neugebauer, J.: Identification of fundamental materials‐design limits in ultra lightweight Mg–Li alloys via quantum-mechanical calculations. Multiscale Materials Modeling, Freiburg, Germany (2010)
Zambaldi, C.; Raabe, D.: Surface Topographies after Nanoindentation and their Utilization to Quantify the Plastic Anisotropy of Gamma-TiAl on the Single Crystal Length Scale. MMM 2010, Freiburg, Germany (2010)
Zambaldi, C.; Roters, F.; Raabe, D.: Crystal plasticity modeling and experiments to improve the micromechanical understanding of single crystal gamma-TiAl and gamma-TiAl based microstructures. MMM 2010 Fifth International Conference Multiscale Materials Modeling, Freiburg, Germany (2010)
Krüger, T.: Analyzing blood properties by simulating suspensions of deformable particles: Shear stress and viscosity behavior. ICAMS Scientific Retreat, Akademie Biggesee, Attendorn (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
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
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…