Evers, S.; Borodin, S.; Auinger, M.; Rohwerder, M.: Understanding of Hydrogen in Steel by Scanning Kelvin Probe measurements on evaporated Pd-Films. 7th International Conference on Diffusion in Solids and Liquids (DSL 2011), Algarve, Portugal (2011)
Muglali, M. I.; Bashir, A.; Rohwerder, M.: A study on oxygen reduction inhibition at pyridine-terminated self assembled monolayer modified Au(111) electrodes. Workshop on Engineering of Functional Interfaces, Hasselt Univ, Campus Diepenbeek, Diepenbeek, Belgium (2011)
Salgin, B.; Rohwerder, M.: Mobility of Water and Charge Carriers in Polymer/Oxide/Aluminium Alloy Interphases. M2i Conference 2010, Noordwijkerhout, The Netherlands (2010)
Auinger, M.; Rohwerder, M.: Grain Boundary Oxidation Processes and High Temperature Corrosion. Division of Materials and Manufacturing Science, Osaka University, Osaka, Japan (2010)
Salgin, B.; Rohwerder, M.: Mobility of Water and Charge Carriers in Polymer/Oxide/Aluminium Alloy Interphases. M2i/DPI Project Meeting, Eindhoven, The Netherlands (2010)
Keil, P.; Salgin, B.; Vogel, D.; Rohwerder, M.: Applications of the Kelvin Probe: From ion mobilty to x-ray/sample interaction. Institute for X-Ray Physics, University of Göttingen, Göttingen, Germany (2010)
Auinger, M.; Borodin, S.; Evers, S.; Rohwerder, M.: Thermodynamic Studies of Hydrogen Permeation and the Effect of Oxide Formation in Pure Iron Samples. 6th International Conference on Diffusion in Solids and Liquids, Paris, France (2010)
Auinger, M.; Rohwerder, M.: Grain Boundary Oxidation Processes and High Temperature Corrosion. GTT-Workshop on Thermodynamic Simulations in Industry, Herzogenrath, Aachen, Germany (2010)
Auinger, M.; Borodin, S.; Swaminathan, S.; Rohwerder, M.: Thermodynamic Simulations of the Oxidation Processes in Polycrystalline Metallic Alloys. International Workshop “Grain boundary diffusion, stresses and segregation”, Moscow, Russia (2010)
Salgin, B.; Rohwerder, M.: Mobility of Water and Charge Carriers in Polymer/Oxide/Aluminium Alloy Interphases. M2i Cluster6 (Durability) Meeting, Velsen-Noord, The Netherlands (2010)
Hamou, R. F.; Biedermann, P. U.; Erbe, A.; Rohwerder, M.: Numerical Investigation of Electrode Surface Potential Mapping with Scanning Electrochemical Potential Microscopy. The 12th International Scanning Probe Microscopy Conference, Sapporo, Japan (2010)
Rohwerder, M.: Application of Conducting Polymers for the Corrosion Protection of Iron and Zinc. Advances in Corrosion Science for Lifetime Prediction and Sustainability: ISE 8th Spring Meeting, Columbus, Ohio, USA (2010)
Bashir, A.; Muglali, M. I.; Hamou, R. F.; Rohwerder, M.: SECPM Study: Influence of the Tip Material and Its Coating on the Accuracy of Potential Profiling Across Electrical Double Layer at Solid/Liquid Interface. 217th ECS Meeting, Vancouver, Canada (2010)
Hamou, R. F.; Biedermann, P. U.; Erbe, A.; Rohwerder, M.: Numerical simulation of probing the electric double layer by scanning electrochemical Potential microscopy. 217th ECS Meeting, Vancouver, Canada (2010)
Rohwerder, M.: Self-assembled monolayers in corrosion research. Chemisches Kolloquium, Institut für Anorganische und Analytische Chemie, Johann Wolfgang Goethe-Universität, Frankfurt a. M., Germany (2010)
Rohwerder, M.: On the meaning of electrode potentials measured by Kelvin probe on coated and bare metal surfaces. 217th ECS Meeting, Vancouver, Canada (2010)
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
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.
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.
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.