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)
Todorova, M.; Surendralal, S.; Wippermann, S. M.; Deißenbeck, F.; Neugebauer, J.: Insights into processes at electrochemical solid/liquid interfaces from ab initio molecular dynamics simulations. ICTP-Workshop on “Physics and Chemistry of Solid/Liquid Interfaces for Energy Conversion and Storage”, Virtual Meeting, Trieste, Italy (2021)
Neugebauer, J.: Materials design by exploiting high-dimensional chemical and structural configuration spaces. Kolloquium im Rahmen des SFB 986, Technische Universität Hamburg-Harburg, Online Meeting, Hamburg-Harburg, Germany (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
We will investigate the electrothermomechanical response of individual metallic nanowires as a function of microstructural interfaces from the growth processes. This will be accomplished using in situ SEM 4-point probe-based electrical resistivity measurements and 2-point probe-based impedance measurements, as a function of mechanical strain and…
Developing and providing accurate simulation techniques to explore and predict structural properties and chemical reactions at electrified surfaces and interfaces is critical to surmount materials-related challenges in the context of sustainability, energy conversion and storage. The groups of C. Freysoldt, M. Todorova and S. Wippermann develop…
ECCI is an imaging technique in scanning electron microscopy based on electron channelling applying a backscatter electron detector. It is used for direct observation of lattice defects, for example dislocations or stacking faults, close to the surface of bulk samples.
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…