Swaminathan, S.; Spiegel, M.; Rohwerder, M.: Effect of annealing conditions on the selective oxidation of quarternary model alloy. 4th International Conference on Diffusion in Solids and Liquids, Barcelona, Spain (2008)
Swaminathan, S.; Koll, T.; Pohl, M.; Spiegel, M.: Hot-dip galvanizing simulation of model alloys and industrial steel grades: Correlation between surface chemistry and wettability. GALVATECH `07, 7th International Conference on Zinc and Zinc Alloy Coated Steel Sheet, Osaka, Japan (2007)
Swaminathan, S.; Spiegel, M.: Effect of alloy composition on the selective oxidation of ternary Fe–Si–Cr, Fe–Mn–Cr model alloys. ECASIA 2007, 12th European Conference on Applications of Surface and Interface Analysis, Brussels-Flggey, Belgium (2007)
Auinger, M.; Swaminathan, S.; Rohwerder, M.: The Influence of Oxide Formation on the Diffusion Properties in Iron Alloys - The Thermogravimetric Behaviour in Early Stages of Oxidation. Gordon-Kenan Research Seminar on High Temperature Corrosion and Gordon-Research Conference on High Temperature Corrosion, New London, NH, USA (2011)
Vogel, D.; Swaminathan, S.; Rohwerder, M.; Renner, F. U.: Possibilities for high-temperature corrosion at MPIE. International Symposium on High-temperature Oxidation and Corrosion, Zushi, Japan (2010)
Vogel, A.; Swaminathan, S.; Vogel, D.; Rohwerder, M.: Novel Setup for Metal/Gas Reactions at High Temperature. 6th International Conference on Diffusion in Solids and Liquids: Mass Transfer, Heat Transfer and Microstructure and Properties, Paris, France (2010)
Swaminathan, S.: Selective surface oxidation and segregation upon short term annealing of model alloys and industrial steel grades. Dissertation, Ruhr-Universität, Fakultät für Physik und Astronomie, Bochum, Germany (2007)
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.