Haghighat, S. M. H.; Eggeler, G. F.; Raabe, D.: Mesoscale modelling of the influence of loading conditions on the dislocation mobility and creep process in single crystal Ni base superalloys. KTH Stockholm-Sweden, Stockholm, Sweden (2014)
Neelakantan, L.; Eggeler, G. F.; Hassel, A. W.: Investigations to understand the mechanisms during electropolishing of NiTi. 6th International Symposium on Electrochemical Micro & Nanosystem Technologies, Bonn, Germany (2006)
Neelakantan, L.; Eggeler, G. F.; Hassel, A. W.: Electropolishing of NiTi - Insight its mechanism. 58th Annual Meeting of the International Society of Electrochemistry, Banff, Canada (2007)
Hariharan, A.: On the interfacial defect formation mechanism during laser additive manufac-turing of polycrystalline superalloys. Dissertation, Ruhr-Universität Bochum (2019)
Hariharan, A.: On the interfacial defect formation mechanism during laser additive manufacturing of polycrystalline superalloys. Dissertation, Ruhr-Universität Bochum (2019)
Luo, W.: Mechanical properties of the cubic and hexagonal NbCo2 Laves phases studied by micromechanical testing. Dissertation, Ruhr-Universität Bochum (2019)
Wu , X.: Elementary deformation processes during low temperature and high stress creep of Ni-base single crystal superalloys. Dissertation, Ruhr-University Bochum, Bochum, Germany (2016)
Aghajani, A.: Evolution of microstructure during long-term creep of a tempered martensite ferritic steel. Dissertation, Ruhr-University Bochum, Bochum (2009)
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.
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…
Electron microscopes offer unique capabilities to probe materials with extremely high spatial resolution. Recent advancements in in situ platforms and electron detectors have opened novel pathways to explore local properties and the dynamic behaviour of materials.
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.