Hickel, T.; Al-Zubi, A.; Neugebauer, J.: Ab initio based prediction of phase diagrams: Application to magnetic shape-memory alloys. 9. Materialwissenschaftlicher Tag der Ruhr-Universtät Bochum, Bochum, Germany (2011)
Hickel, T.; Al-Zubi, A.; Neugebauer, J.: Chemical Trends for Phase Transitions in Magnetic Shape Memory Alloys Derived from First Principles. International Conference on Ferromagnetic Shape-Memory Alloys, ICFSMA’11, Dresden, Germany (2011)
Hickel, T.; Al-Zubi, A.; Neugebauer, J.: Chemical Trends for Phase Transitions in Magnetic Shape Memory Alloys Derived from First Principles. TMS2011, San Diego, CA, USA (2011)
Hickel, T.; Al-Zubi, A.; Uijttewaal, M.; Neugebauer, J.: First principles determination of phase transitions in magnetic shape memory alloys. Multiscale Materials Modelling, Freiburg, Germany (2010)
Hickel, T.; Uijttewaal, M.; Al-Zubi, A.; Neugebauer, J.: Ab initio simulation of magnetic shape memory alloys: The interplay of magnetic and vibrational degrees of freedom. Oberseminar: Ultraschnelle Dynamik in Festkörpern und an Grenzflächen, Fakultät für Physik, Universtität Duisburg-Essen, Duisburg, Germany (2010)
Hickel, T.; Al-Zubi, A.; Neugebauer, J.: Ab initio investigation of temperature dependent effects in magnetic shape memory Heusler alloys. SPP1239 Fokustreffen A "Fundamentals", Bonn, Germany (2009)
Dutta, B.; Hickel, T.; Al-Zubi, A.; Neugebauer, J.: Prediction of chemical trends in the phase diagrams of magnetic shape memory alloys from first-principles calculations. International Workshop on Ab initio Description of Iron and Steel (ADIS2012), Ringberg, 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
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…
The field of micromechanics has seen a large progress in the past two decades, enabled by the development of instrumented nanoindentation. Consequently, diverse methodologies have been tested to extract fundamental properties of materials related to their plastic and elastic behaviour and fracture toughness. Established experimental protocols are…
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…