Herbig, M.; Kumar, A.: Removal of hydrocarbon contamination and oxide films from atom probe specimens. Microscopy Research and Technique 84 (2), pp. 291 - 297 (2021)
Kumar, A.; Dutta, A.; Makineni, S. K.; Herbig, M.; Petrov, R.; Sietsma, J.: In-situ observation of strain partitioning and damage development in continuously cooled carbide-free bainitic steels using micro digital image correlation. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 757, pp. 107 - 116 (2019)
Kwiatkowski da Silva, A.; Inden, G.; Kumar, A.; Ponge, D.; Gault, B.; Raabe, D.: Competition between formation of carbides and reversed austenite during tempering of a medium-manganese steel studied by thermodynamic-kinetic simulations and atom probe tomography. Acta Materialia 147, pp. 165 - 175 (2018)
This project targets to exploit or develop new methodologies to not only visualize the 3D morphology but also measure chemical distribution of as-synthesized nanostructures using atom probe tomography.
The mission of our group is to uncover the fundamental mechanisms of deformation and degradation in battery systems and to leverage mechanical principles to design damage-resilient energy storage systems.
Here the focus lies on investigating the temperature dependent deformation of material interfaces down to the individual microstructural length-scales, such as grain/phase boundaries or hetero-interfaces, to understand brittle-ductile transitions in deformation and the role of chemistry or crystallography on it.
The full potential of energy materials can only be exploited if the interplay between mechanics and chemistry at the interfaces is well known. This leads to more sustainable and efficient energy solutions.
In order to develop more efficient catalysts for energy conversion, the relationship between the surface composition of MXene-based electrode materials and its behavior has to be understood in operando. Our group will demonstrate how APT combined with scanning photoemission electron microscopy can advance the understanding of complex relationships…