Raabe, D.; Demir, E.; Zaefferer, S.: Experimental investigation of geometrically necessary dislocations beneath small indents of different depths using EBSD tomography. MRS 2009 Fall Meeting, Boston, MA, USA (2009)
Hild, S.; Ziegler, A.; Neues, F.; Epple, M.; Fabritius, H.; Raabe, D.: The Crustacean Cuticle: A Model to Study the Influence of Chemical Composition and Microstructure on the Mechanical Properties of a Biological Composite Material. MRS Fall Conference 2008, Boston, MA, USA (2008)
Zambaldi, C.; Roters, F.; Zaefferer, S.; Raabe, D.: Ductility of Gamma-TiAl-Based Microstructures in the Light of Deformation Mode Interaction-Crystal Plasticity Modeling and Micro-Mechanical Experiments. MRS Fall Conference 2008, Boston, MA, USA (2008)
Counts, W. A.; Friák, M.; Battaile, C.; Raabe, D.; Neugebauer, J.: Multiscale Prediction of Polycrystal Elastic Properties of Ultralight Weight Mg-Li Alloys using Ab Initio and FEM Approaches. MRS Fall Conference 2008, Boston, MA, USA (2008)
Demir, E.; Raabe, D.; Zaefferer, S.: Quantification of Geometrically Necessary Dislocations Beneath Small Indents of Different Depths Using EBSD Tomography. MRS Fall Conference 2008, Boston, MA, USA (2008)
Knezevic, M.; Ma, D.; Raabe, D.; Kalidindi, S. R.; Friák, M.; Neugebauer, J.: Application of Spectral Methods for Anisotropy Design of Ti-Nb Polycrystals for Biomedical Applications based on ab Initio Elastic Single Crystal Constants and Fast Fourier Homogenization. MRS Fall Conference 2008, Boston, MA, USA (2008)
Petrov, M.; Friák, M.; Lymperakis, L.; Neugebauer, J.; Raabe, D.: Ground-state structure and elastic anisotropy of crystalline alpha-chitin: An ab-initio based conformational analysis. Materials Research Society meeting (MRS), Boston, MA, USA (2008)
Calcagnotto, M.; Ponge, D.; Raabe, D.: Mechanical properties of ultrafine and fine grained dual phase steels. MS&T 2008 (Materials Science and Technology), Pittsburgh, PA, USA (2008)
Ma, A.; Friák, M.; Neugebauer, J.; Raabe, D.: Ab initio based design of alloys. MS&T'08, Symposium: Discovery and Optimization of Materials Through Computational Design, David Lawrence Convention Center, Pittsburgh, PA, USA (2008)
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)
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…