Rohwerder, M.: Strategies for enhancing Corrosion Protection by Organic Coatings. 71st Annual Meeting of the International Society of Electrochemistry, virtual (2020)
Rohwerder, M.: Zinc alloy coatings and nano-composite coatings for corrosion protection: From the basics to new challenges. IIM NMD ATM 2019: Advanced Materials for Industrial and Societal Applications, Kovalam, Thiruvananthapuram, India (2019)
Rohwerder, M.: Intelligent coatings for corrosion protection: on the need for new coating concepts. International Conference on Corrosion Protection and Application (ICCPA 2019), Chongqing, China (2019)
Rohwerder, M.: Scanning Kelvin Probe based techniques for mapping hydrogen distribution in metals and their application for investigating hydrogen embrittlement. Workshop “Hydrogen in Metals”, St Anne’s College, Oxford, UK (2019)
Uebel, M.; Rabe, M.; Rohwerder, M.: The Influence of Microstructure on Zn–Al–Mg Alloy Reactivity: A SKP-based Approach. Scientific Advisory Board Meeting 2019, 6-years Evaluation of the Max-Planck-Institut für Eisenforschung GmbH – Scientific Highlights Session, Düsseldorf, Germany (2019)
Rohwerder, M.: Die Kelvinsondentechnik in der Korrosion: von der Grundlagenforschung bis hin zu potentiellen Anwendungen im Feld. ProcessNet Meeting “Elektrochemische Prozesse”, Dechema-Haus, Frankfurt, Germany (2019)
Uebel, M.; Rohwerder, M.: The influence of microstructure on Zn–Al–Mg alloy reactivity investigated by SKP and SKPFM in changing atmospheres. Eurocorr 2018, Krakow, Poland (2018)
Rohwerder, M.; Tran, T. H.: Novel zinc-nanocontainer composite coatings for intelligent corrosion protection. 11th Intrenational Conference on Zinc And Zinc Alloy Coated Steel Sheet- GALVATECH 2017, The University of Tokyo, Tokyo, Japan (2017)
Merz, A.; Rohwerder, M.: Corrosion protection by composite coatings containing conducting polymer particles: elucidation of the “protection zone”. 232nd ECS Fall Meeting 2017, National Harbour, USA (2017)
Rohwerder, M.: Organic coatings for corrosion protection: self-healing at the delaminated interface. 232th Meeting of the Electrochemical Society, National Harbor, USA (2017)
Uebel, M.; Rohwerder, M.: Capsular networking and accelerated trigger signal spreading velocity in smart redox responsive coatings for corrosion protection. 232nd ECS Fall Meeting 2017, National Harbor, MD (greater Washington, DC area), USA (2017)
Rohwerder, M.: A Novel Potentiometric Approach to a Quantitative Characterization of Oxygen Reduction Kinetics at Buried Interfaces and under Ultrathin Electrolyte Layers. ECASIA 2017, Montpellier, France (2017)
Rohwerder, M.: A Novel Potentiometric Approach to a Quantitative Characterization of Oxygen Reduction Kinetics at Buried Interfaces and under Ultrathin Electrolyte Layers. Second International Conference on Electrochemical Science and Technology – ICONEST 2017, Indian Institute of Science, Bangalore, India (2017)
Uebel, M.; Rohwerder, M.: The impact of trigger signal spreading velocity on self-healing performance in smart anti-corrosion coatings. 6th International Conference on Self-Healing Materials (ICSHM) 2017, Friedrichshafen, Germany (2017)
Rohwerder, M.: Novel Approaches for Characterizing the Delamination resistance of Organic Coatings. 10th International Workshop on Application of Electrochemical Techniques to Organic Coatings –AETOC, Billerbeck, Germany (2017)
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
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
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.