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)
Kerger, P.; Rohwerder, M.; Vogel, D.: Using a Novel In-situ/Operando Chemical Cell to Investigate Surface Reactions such as the Reduction of Oxygen and Surface Oxides. AVS 63rd International Symposium & Exhibition, Nashville, TN, USA (2016)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.
The project HyWay aims to promote the design of advanced materials that maintain outstanding mechanical properties while mitigating the impact of hydrogen by developing flexible, efficient tools for multiscale material modelling and characterization. These efficient material assessment suites integrate data-driven approaches, advanced…
A novel design with independent tip and sample heating is developed to characterize materials at high temperatures. This design is realized by modifying a displacement controlled room temperature micro straining rig with addition of two miniature hot stages.
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…
The structures of grain boundaries (GBs) have been investigated in great detail. However, much less is known about their chemical features, owing to the experimental difficulties to probe these features at the near-atomic scale inside bulk material specimens. Atom probe tomography (APT) is a tool capable of accomplishing this task, with an ability…
While Density Functional Theory (DFT) is in principle exact, the exchange functional remains unknown, which limits the accuracy of DFT simulation. Still, in addition to the accuracy of the exchange functional, the quality of material properties calculated with DFT is also restricted by the choice of finite bases sets.