Herbig, M.: How correlative transmission electron microscopy and atom probe tomography could benefit from a 3D nanobeam diffraction orientation mapping technique. Workshop on Scientific Directions for Future Transmission Electron Microscopy, Forschungszentrum Jülich, Jülich, Germany (2016)
Herbig, M.: Joint Characterization of Crystallography and Chemistry on the Nanometer Scale by Correlative Electron Microscopy and Atom Probe Tomography. Talk at Ernst Ruska-Centre, Forschungszentrum Jülich, Jülich, Germany (2016)
Herbig, M.: Investigation of Segregation Phenomena in Steels by Correlative Transmission Electron Microscopy and Atom Probe Tomography. International Conference on Atom Probe Tomography & Microscopy 2016, Gyeongju, South Korea (2016)
Raabe, D.; Choi, P.-P.; Gault, B.; Ponge, D.; Yao, M.; Herbig, M.: Segregation engineering for self-organized nanostructuring of materials - from atoms to properties? APT&M 2016 - Atom Probe Tomography & Microscopy 2016 (55th IFES) , Gyeongju, South Korea (2016)
Kuzmina, M.; Gault, B.; Herbig, M.; Ponge, D.; Sandlöbes, S.; Raabe, D.: From grains to atoms: ping-pong between experiment and simulation for understanding microstructure mechanisms. Res Metallica Symposium, Department of Materials Engineering, KU Leuven, Leuven, The Netherlands (2016)
Ponge, D.; Herbig, M.; Tasan, C. C.; Raabe, D.: Integrated experimental and simulation analysis of dual phase steels. Workshop on Possibilities and Limitations of Quantitative Materials Modeling and Characterization 2016, Bernkastel, Germany (2016)
Herbig, M.: Is the Neumann model for short fatigue crack propagation relevant in practice? Science Slam, Department Microstructure Physics and Alloy Design, MPIE, Düsseldorf, Germany (2016)
Ponge, D.; Kuzmina, M.; Sandlöbes, S.; Herbig, M.; Raabe, D.: Austenite formation along dislocations in medium manganese steels. Thermec 2016, Intl. Conf. on Processing & Manufacturing of Advanced Materials, Graz, Austria (2016)
Kuzmina, M.; Herbig, M.; Ponge, D.; Choi, P.-P.; Stoffers, A.; Sandlöbes, S.; Raabe, D.: Segregation engineering enables nanostructured dual-phase laminates via solute decoration and phase transformation at lattice defects. Colloquium lecture at Department of Mechanical Engineering, Technische Universiteit Eindhoven, Eindhoven, The Netherlands (2015)
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…
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…