Hickel, T.; Uijttewaal, M.; Grabowski, B.; Neugebauer, J.: Determination of symmetry reduced structures by a soft-phonon analysis in Ni2MnGa. MRS Fall Meeting 2007, Boston, MA, USA, November 26, 2007 - November 30, 2007. Magnetic Shape Memory Alloys, (2008)
Zhou, X.; Hickel, T.; Gault, B.; Ophus, C.; Liebscher, C.; Dehm, G.; Raabe, D.: Exploring the Relationship Between Grain Boundary Structure and Chemical Composition at the Atomic Level. International Conference on Intergranular and Interphase Boundaries in Materials (IIB 2024), Beijing, China (2024)
Neugebauer, J.; Yang, J.; Todorova, M.; Hickel, T.: Constructing Defect Phase Diagrams from Ab Initio Calculations and CALPHAD Concepts. TMS Annual Meeting and Exhibition, San Diego, CA, USA (2023)
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)
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)
Hickel, T.: Application of Density Functional Theory in the Context of Phase Diagram Modelling. MSIT Winter School on Materials Chemistry, Virtual Event (2021)
Janßen, J.; Hickel, T.; Neugebauer, J.: pyiron – an integrated development environment for ab initio thermodynamics. Potential Workshop, ICAMS, virtual, Bochum, Germany (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
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…
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…