Khorashadizadeh, A.; Winning, M.; Zaefferer, S.; Raabe, D.: Recrystallization and grain growth in ultra fine grained CuZr alloy processed by high pressure torsion. Materials Science and Engineering MSE 2010, Darmstadt, Germany (2010)
Winning, M.; Khorashadizadeh, A.; Raabe, D.: Characterization of the microstructure of ultra fine-grained materials processed by severe plastic deformation methods in the deformed and the annealed state. Materials Science and Engineering MSE 2010, Darmstadt, Germany (2010)
Winning, M.; Khorashadizadeh, A.; Raabe, D.; Zaefferer, S.: Recrystallization and grain growth in ultra fine grained materials produced by high pressure torsion. Recrystallization & Grain Growth 4 RX&GG, Sheffield, UK (2010)
Khorashadizadeh, A.; Winning, M.; Raabe, D.: Microstructure and Texture evolution during high pressure torsion of a CuZr alloy. Euromat 2009, Glasgow, UK (2009)
Khorashadizadeh, A.; Winning, M.; Raabe, D.: Microstructure and Texture evolution during high pressure torsion of a CuZr alloy. 15th International Conference on the Strength of Materials ICSMA 2009, Dresden, Germany (2009)
Khorashadizadeh, A.; Winning, M.; Zaefferer, S.; Raabe, D.: 3D tomographic EBSD characterization of crystal topology in a CuZr alloy processed by equal channel angular pressing. Interdisciplinary Symposium on 3D Microscopy, Interlaken, Switzerland (2009)
Khorashadizadeh, A.; Raabe, D.; Winning, M.: Microstructure and texture evolution during high pressure torsion of a Cu0.17wt%Zr alloy. DPG Frühjahrstagung 2009, Dresden, Germany (2009)
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)
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. DPG Frühjahrstagung 2008, Berlin, Germany (2008)
Khorashadizadeh, A.; Raabe, D.: Exploring the formation of different lamination configurations within the orientation space. 11th GAMM-Seminar on Microstructures, Universität Duisburg-Essen, Essen, Germany (2012)
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…