Khan, T. R.; Vimalanandan, A.; Marlow, F.; Erbe, A.; Rohwerder, M.: Existence of a lower critical radius for incorporation of silica particles into zinc during electro-codeposition. ACS Applied Materials and Interfaces 4 (11), pp. 6221 - 6227 (2012)
Khan, T. R.; Erbe, A.; Auinger, M.; Marlow, F.; Rohwerder, M.: Electrodeposition of zinc-silica composite coatings: Challenges in incorporating functionalized silica particles into a zinc matrix. Science and Technology of Advanced Materials 12 (5), 055005 (2011)
Khan, T. R.; de la Fuenta, D.; Rohwerder, M.: Electrolytic co-deposition of SiO2 nanoparticles with zinc for improvement of corrosion protection. 59th Annual Meeting of the International Society of Electrochemistry, Seville, Spain (2008)
Khan, T. R.; Vimalanandan, A.; Rohwerder, M.; Marlow, F.: Electrodeposition of Zinc-Silica Coatings for Smart Corrosion Protection. EUROCORR 2011, the European Corrosion Congress “Developing Solutions For The Global Challenge”, Stockholm, Sweden (2011)
Khan, T. R.: Nanocomposite coating: Codeposition of SiO2 particles during electrogalvanizing. Dissertation, Fakultät für Maschinenbau der Ruhr-Universität Bochum, 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
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
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.
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…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.