Neugebauer, J.; Körmann, F.; Hickel, T.: Ab Initio Descriptors to Guide Materials Design in High-dimensional Chemical and Structural Configuration Spaces. TMS Annual Meeting and Exhibition, San Diego, CA, USA (2022)
Neugebauer, J.; Zendegani, A.; Hickel, T.: Construction and Application of Defect Phase Diagrams. TMS Annual Meeting and Exhibition, Anaheim, CA, USA (2022)
Todorova, M.; Surendralal, S.; Wippermann, S. M.; Deißenbeck, F.; Neugebauer, J.: Processes at solid/liquid interfaces – insights from ab initio molecular dynamics simulations with potential control. AMaSiS 2021 Online - Applied Mathematics and Simulation for Semiconductors and Electrochemical Systems, Berlin, Germany (2021)
Neugebauer, J.: Ab initio descriptors to guide materials design in high-dimensional chemical and structural configuration spaces. Münchner Physik Kolloquium - Festkolloquium für Professor Winfried Petry, Technische Universität München, delivered online, München, Germany (2021)
Neugebauer, J.: Efficient sampling of high-dimensional chemical and thermodynamic configuration spaces. ELRC2020: Invitation to Complex High-Dimensional Energy Landscapes Reunion Conference II, Delivered online, Lake Arrowhead, CA, USA (2021)
Neugebauer, J.; Zendegani, A.; Hickel, T.: Defect phase diagrams as novel tool to understand and design tailored defect structures in advanced steels. Thermec2021, Virtual Meeting, Vienna, Austria (2021)
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…
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…
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…