Tillack, N.; Hickel, T.; Raabe, D.; Neugebauer, J.: Kinetic Monte Carlo simulations and ab initio studies of nano-precipitation in ferritic steels. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
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)
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)
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)
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)
Tillack, N.; Hickel, T.; Raabe, D.; Neugebauer, J.: Combined ab initio studies and kinetic Monte Carlo simulations of nano-precipitation in ferritic steels. Summer School: Computational Materials Science, San Sebastian, Spain (2010)
Tillack, N.: Chemical Trends in the Yttrium-Oxide Precipitates in Oxide Dispersion Strengthened Steels: A First-Principles Investigation. Master, Ruhr-Universität Bochum, Bochum, Germany (2012)
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
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.
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…
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…