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
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
The field of micromechanics has seen a large progress in the past two decades, enabled by the development of instrumented nanoindentation. Consequently, diverse methodologies have been tested to extract fundamental properties of materials related to their plastic and elastic behaviour and fracture toughness. Established experimental protocols are…
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
Electron microscopes offer unique capabilities to probe materials with extremely high spatial resolution. Recent advancements in in situ platforms and electron detectors have opened novel pathways to explore local properties and the dynamic behaviour of materials.