Aydin, U.; Hickel, T.; Neugebauer, J.: Combining ab initio with data mining techniques: Solution enthalpy of hydrogen in transition metals. ADIS Conference 2012, Ringberg, Germany (2012)
Aydin, U.; Hickel, T.; Neugebauer, J.: Combining ab initio with data mining techniques: Solution enthalpy of hydrogen in transition metals. DPG Frühjahrstagung 2012, Berlin, Germany (2012)
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)
Tillack, N.; Yates, J. R.; Roberts, S. G.; Hickel, T.; Drautz, R.; Neugebauer, J.: First-Principles Investigations of ODS Steels. Ab initio Description of Iron and Steel: Thermodynamics and Kinetics, Tegernsee, Germany (2012)
Tillack, N.; Hickel, T.; Raabe, D.; Neugebauer, J.: Ab initio study of nano-precipitate nucleation and growth in ferritic steels. Psi-k/CECAM/CCP9 Biennial Graduate School in Electronic-Structure Methods, Oxford, UK (2011)
Körmann, F.; Dick, A.; Hickel, T.; Neugebauer, J.: Integrating finite temperature magnetism into ab initio free energy calculations. Calphad XL, Rio de Janeiro, Brazil (2011)
Körmann, F.; Dick, A.; Hickel, T.; Neugebauer, J.: Integrating finite temperature magnetism into ab initio free energy calculations. TMS 2011 Annual Meeting, San Diego, CA, USA (2011)
Tillack, N.; Hickel, T.; Raabe, D.; Neugebauer, J.: Ab initio study of nano-precipitate nucleation and growth in ferritic steels. Materials Discovery by Scale-Bridging High-Throughput Experimentation and Modelling, Ruhr-Universität Bochum, Bochum, Germany (2010)
Aydin, U.; Hickel, T.; Neugebauer, J.: High-Throughput Computation: The solution enthalpy of hydrogen in 3d metals derived from first principles. International workshop on Materials Discovery by Scale-Bridging High-Throughput, Bochum, Germany (2010)
Tillack, N.; Hickel, T.; Raabe, D.; Neugebauer, J.: Ab initio and kinetic Monte-Carlo study of nano-precipitate nucleation and growth in ferritic steels. Materials Discovery by Scale-Bridging High-Throughput Experimentation and Modelling, Bochum, Germany (2010)
Aydin, U.; Hickel, T.; Neugebauer, J.: The solution enthalpy of hydrogen derived from first principles along the series of 3d metals. Ab initio description of Iron and Steel: Mechanical Properties, 468. Wilhelm und Else Heraeus-Seminar, Ringberg, Germany (2010)
Sandschneider, N.; Hickel, T.; Neugebauer, N.: Defects and diffusion mechanisms in FeAl. Ab initio Description of Iron and Steel: Mechanical properties, 468. Wilhelm und Else Heraeus-Seminar, Ringberg, Germany (2010)
Tillack, N.; Hickel, T.; Raabe, D.; Neugebauer, J.: Kinetic Monte Carlo and ab initio study of nano-precipitates and growth in ferritic steels. Ab Initio Description of Iron and Steel: Mechanical Properties, Tegernsee, Germany (2010)
Abbasi, A.; Dick, A.; Hickel, T.; Neugebauer, J.: The influence of interstitial carbon on the stacking fault energy of Fe based materials. Psi-k Conference 2010, Berlin, Germany (2010)
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…