Grabowski, B.; Wippermann, S. M.; Glensk, A.; Hickel, T.; Neugebauer, J.: Random phase approximation up to the melting point: Impact of anharmonicity and nonlocal many-body effects on the thermodynamics of Au. DPG Spring Meeting 2015, Berlin, Germany (2015)
Neugebauer, J.: Quantum mechanical design of structural materials on the computer. Colloquium at Heinrich Heine Universität Düsseldorf, Düsseldorf, Germany (2015)
Neugebauer, J.: Introduction to density functional Theory from a materials science perspective. ICAMS course “Multiscale Modelling”, Bochum, Germany (2015)
Dey, P.; Nazarov, R.; Yao, M.; Friák, M.; Hickel, T.; Neugebauer, J.: Adaptive C content in coherently strained kappa-carbides - An ab initio explanation of atom probe tomography data. 2nd German-Austrian Workshop on "Computational Materials Science on Complex Energy Landscapes", Kirchdorf, Austria (2015)
Dutta, B.; Körmann, F.; Hickel, T.; Neugebauer, J.: The itinerant coherent potential approximation for phonons: Role of fluctuations for systems with magnetic disorder. 2nd German-Austrian Workshop, Kirchdorf, Austria (2015)
Gupta, A.; Dutta, B.; Hickel, T.; Neugebauer, J.: Thermodynamic phase stability in the Al–Sc system using first principles methods. 2nd German-Austrian Workshop on "Computational Materials Science on Complex Energy Landscapes", Kirchdorf, Austria (2015)
Hickel, T.; Nazarov, R.; McEniry, E.; Dey, P.; Neugebauer, J.: Ab initio insights into the interaction of hydrogen with precipitates in steels. Workshop on Hydrogen Embrittlement and Sour Gas Corrosion 2015, Düsseldorf, Germany (2015)
Neugebauer, J.: Ab Initio Thermodynamics: A Novel Route to Design Structural Materials with Superior Mechanical Properties. TMS-MEMA Conference, Doha, Katar (2015)
Neugebauer, J.: Design and discovery of structural materials on the computer: Prospects and challenges. Colloquium at Universität Magdeburg, Magdeburg, Germany (2015)
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
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…
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…