Ankah, G. N.; Meimandi, S.; Renner, F. U.: Dealloying of Cu3Pd Single Crystal Surfaces. Journal of the Electrochemical Society 160 (8), pp. C390 - C395 (2013)
Valtiner, M.; Ankah, G. N.; Bashir, A.; Renner, F. U.: Atomic force microscope imaging and force measurements at electrified and actively corroding interfaces: Challenges and novel cell design. Review of Scientific Instruments 82 (2), pp. 023703-1 - 023703-8 (2011)
Renner, F. U.; Ankah, G.; Pareek, A.: Surface Morphology Changes during Dealloying. Pacific Rim Meetin on Electrochemical and Solid-State Science PRIME 2012 / ECS 222, Honolulu, HI, USA (2012)
Ankah, G. N.; Renner, F. U.; Rohwerder, M.: Fundamental Investigations of the Corrosion of Binary Alloys. 59th Annual Meeting of the International Society of Electrochemistry, Sevilla, Spain (2008)
Ankah, G. N.: Investigations of the Selective Dissolution of Cu3Au(111): In-situ and Ex-situ Characterization. Dissertation, Fakultät für Maschinenbau der Ruhr-Universität, Bochum, Germany (2011)
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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
We simulate the ionization contrast in field ion microscopy arising from the electronic structure of the imaged surface. For this DFT calculations of the electrified surface are combined with the Tersoff-Hamann approximation to electron tunneling. The approach allows to explain the chemical contrast observed for NiRe alloys.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…