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)
Raabe, D.; Ponge, D.; Kuzmina, M.; Sandlöbes, S.: Phase transformations at dislocations. Workshop Possibilities and Limitations of Quantitative Materials Modeling and Characterization, Bernkastel, Germany (2015)
Kuzmina, M.; Herbig, M.; Ponge, D.; Sandlöbes, S.; Raabe, D.: Linear Complexions: Confined Chemical and Structural States at Dislocations in Metallic Alloys. MRS Fall Meeting & Exhibit, Boston, MA, USA (2015)
Kuzmina, M.; Ponge, D.; Bleskov, I.; Raabe, D.: Study of equilibrium segregation of Mn and reversion of austenite in tempered medium Mn steels and its influence on impact toughness. 2nd International Conference on High Manganese Steels - HMnS 2014, Aachen, Germany (2014)
Kuzmina, M.; Ponge, D.; Raabe, D.: Embrittlement effect in medium Fe–Mn alloys. Study of grain boundary segregation. Euromat 2013, Sevilla, Spain (2013)
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…
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…
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…