Raabe, D.: Advances in Constitutive Modeling in Crystal Plasticity FEM. Colloquium Lecture at the Department for Aeronautics at the Massachusetts Institute of Technology, Cambridge, USA (2006)
Godara, A.; Raabe, D.: Micromechanical behavior of thermoplastic matrix composites by digital image correlation. SAMPE Europe - Society for the Advancement of Material and Process Engineering (SAMPE 2006), Paris (2006)
Roters, F.; Ma, A.; Zaafarani, N.; Raabe, D.: Crystal plasticity FEM modeling at large scales and at small scales. GAMM annual meeting, Berlin, Germany (2006)
Zaafarani, N.; Raabe, D.; Singh, R. N.; Roters, F.: Three dimensional investigation of the texture and microstructure below a nanoindent in a Cu single crystal using 3D EBSD and crystal plasticity finite element simulations. DPG Frühjahrstagung, Dresden, Germany (2006)
Bastos, A.; Zaefferer, S.; Raabe, D.: Characterization of microstructure and Texture of nanostructure electrodeposited NiCo samples by use of Electron Backscatter Diffraction (EBSD). DPG – Spring meeting, Dresden, Germany (2006)
Romano, P.; Barani, A.; Ponge, D.; Raabe, D.: Design of High-Strength Steels by microalloying and thermomechanical treatment. TMS 2006, San Antonio, TX, USA (2006)
Godara, A.; Raabe, D.: Influence of sterilization on the microscopic strain localization in carbon fiber reinforced PEEK composites for bone-implant applications investigated by digital image correlation. MRS Fall Meeting, Boston, MA, USA (2006)
Raabe, D.: Neues aus der Eisenzeit - Simulationen und Experimente in der Kristallmechanik und frischer Hummer. Lise-Meitner-Kolloquium, Hahn-Meitner-Institut (HMI), Berlin, Germany (2005)
Raabe, D.: Integrative Werkstoffmodellierung. Finalizing Conference of Sonderforschungsbereich SFB 370, together with an international Konferenz “Integral Materials Modeling”, Aachen, Germany (2005)
Sachs, C.; Fabritius, H.; Romano, P.; Raabe, D.: Viscoelastic Behavior of Lobster Cuticle as a Function of Mineralization Grade. MRS Fall Meeting, Boston, MA, USA (2005)
Fabritius, H.; Romano, P.; Sachs, C.; Al-Sawalmih, A.; Raabe, D.: Arthropod cuticle as an example for bio-composite materials with a strong hierarchical order from the nano- to the macro-level of organization. MRS Fall Meeting, Boston, MA, USA (2005)
Ponge, D.; Song, R.; Ardehali Barani, A.; Raabe, D.: Thermomechanical Processing Research at the Max Planck Institute for Iron Research. FORTY FIRST SEMIANNUAL TECHNICAL PROGRAM REVIEW, Golden, CO, Colorado School of Mines, Advanced Steel Processing and Products Research Center (2005)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
This project will aim at developing MEMS based nanoforce sensors with capacitive sensing capabilities. The nanoforce sensors will be further incorporated with in situ SEM and TEM small scale testing systems, for allowing simultaneous visualization of the deformation process during mechanical tests
The utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
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…