Counts, W. A.; Ma, D.; Friák, M.; Neugebauer, J.; Raabe, D.: Multiscale design of aluminium alloys based on ab-initio methods. ICAA 11 – 11th International Conference on Aluminium Alloys 2008, Aachen, Germany (2008)
Dmitrieva, O.; Raabe, D.: Investigation of microstructures in single crystals: Orientation patterning phenomena. IUTAM Symposium on Variational Concepts with Applications to the Mechanics of Materials, Ruhr-Universität Bochum, Germany (2008)
Raabe, D.; Friak, M.; Neugebauer, J.; Counts, W. A.: Homogenization in Polycrystal Mechanics on the Basis of First Principles Simulations. IUTAM Symposium on Variational Concepts in Materials Mechanics, Ruhr-Universität Bochum, Germany (2008)
Schulz, S.; Winning, M.; Raabe, D.: A modified cellular automaton for the simulation of recrystallization in aluminum. ICAA 11 - International Conference on Aluminium Alloys 2008, Aachen, Germany (2008)
Friák, M.; Sander, B.; Ma, D.; Raabe, D.; Neugebauer, J.: Theory-guided Design of Ti-binaries for Biomedical Applications. 11th International Symposium on Physics of Materials (ISPMA-11), Prague, Czech Republic (2008)
Khorashadizadeh, A.; Raabe, D.; Winning, M.: Three-dimensional tomographic EBSD measurements of the crystal topology in heavily deformed ultra fine grained pure Cu and Cu-0.17wt%Zr obtained from ECAP and HPT. 4th International Conference on Nanomaterials by Severe Plastic Deformation nanoSPD 4, Goslar, Germany (2008)
Ayodele, S. G.; Varnik, F.; Raabe, D.: Transverse diffusive broadening in pressure driven microchannels: A lattice Boltzmann study of the scaling laws. The XVth International Congress on Rheology, Monterey, CA. USA (2008)
Varnik, F.; Raabe, D.: Finite size driven droplet evaporation and kinetics of droplets: A lattice Boltzmann study. Sommer Workshop on Nano-& Microfluidics, Bad-Honnef, Germany (2008)
Dmitrieva, O.; Raabe, D.: Investigation of microstructures in plastically deformed Cu single crystals: Orientation patterning phenomena. MSU Seminar, MPI für Eisenforschung GmbH, Düsseldorf, Germany (2008)
Friák, M.; Sander, B.; Ma, D.; Counts, W. A.; Raabe, D.; Neugebauer, J.: Ab-initio based multi-scale approaches to the elasticity of polycrystals. Mid-term COST conference on Multiscale Modeling of Materials, COST action 19, Brno, Czech Republic (2008)
Balasundaram, K.; Cao, Y. P.; Raabe, D.: Investigating the Applicability of the Oliver & Pharr Method to the Nano-Mechanical Characterization of Soft Matter. Gerberich Symposium, 1st International Conference from Nanoparticles and Nanomaterials to Nanodevices and Nanosystems, Halkidiki, Greece (2008)
Herrera, C.; Ponge, D.; Raabe, D.: Influence of the initial microstructure on the hot deformation of duplex stainless steel. 6th European Stainless Steel Conference, Helsinki, Finland (2008)
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
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
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.