Rohwerder, M.: Self-Healing Coatings for Corrosion Protection: A Critical Overview and Latest Results. Gordon Reserach Conference on Aqueous Corrosion , New London, AR, USA (2014)
Rohwerder, M.: Korrosionsschutz mit leitfähigen Polymeren: Entwicklung selbstheilender Beschichtungen. Materials Valley Workshop, Hanau, Germany (2014)
Rohwerder, M.: Zinc alloy coatings for corrosion protection: From the basics to new challenges. MSE Colloquium, The Ohio State University, Columbus, Columbus, OH, USA (2014)
Rohwerder, M.: A new technique for high-sensitive and spatially resolved detection of hydrogen and its application in corrosion science steel. Hydrogen Embrittlement Workshop, Düsseldorf, Germany (2014)
Rohwerder, M.; Borodin, S.; Vogel, A.; Vogel, D.: Investigation of the Fundamental Processes in the Internal Oxidation of Binary and Ternary Iron Based Alloys at Elevated Temperatures. 2014 ECS and SMEQ Joint Internat. Meeting, Cancun, Mexico (2014)
Altin, A.; Erbe, A.; Ritter, H.; Rohwerder, M.: Controlled release of inhibitors from composite organic coatings: A “green” way of corrosion protection. EUROCORR 2013, Estoril, Portugal (2013)
Vimalanandan, A.; Lv, L. P.; Zhao, Y.; Landfester, K.; Crespy, D.; Rohwerder, M.: Active corrosion protection coatings based on potential triggered release systems. EUROCORR 2013, the European Corrosion Congress, “For a blue sky”, Estoril, Portugal (2013)
Krieg, R.; Vimalanandan, A.; Rohwerder, M.; Theirry, D.; Le Bozec, N.: Corrosion Performance of Zinc Magnesium Aluminium Coated steel: Discussion of fundamental mechanisms. 224th ECS Meeting, San Francisco, CA, USA (2013)
Rohwerder, M.: Electrochemistry of metal surfaces under nanoscopic electrolyte layers. 112th Bunsentagung (Annual German Conference on Physical Chemistry), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany (2013)
Rohwerder, M.: Corrosion Performance of Zinc Magnesium Aluminium Alloy Coated Steel: discussion of fundamental mechanisms. 224th ECS Meeting, San Francisco, CA, USA (2013)
Rohwerder, M.: Neuartige intelligent selbstheilende Korrosionsschutzsysteme. 5. Korrosions-schutz-Symposium, Korrosionsschutz durch Beschichtungen in Theorie und Praxis, Kloster Banz, Germany (2013)
Merzlikin, S. V.; Rohwerder, M.: Detection of Local Hydrogen Distribution by SIMS. Possibility of the Electrochemical SIMS Calibration for Quantification of Hydrogen in Metallic Matrix. International Symposium on Metal-Hydrogen Systems 2012 (MH2012) , Kyoto, Japan (2012)
Salgin, B.; Rohwerder, M.: Ion Mobility Studies on Al2O3 Surfaces. 63rd Annual Meeting of the International Meeting of the International Society of Electrochemistry, Prague, Czech Republic (2012)
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
This project will aim at developing MEMS based nanoforce sensors with capacitive sensing capabilities. The nanoforce sensors will be further incorporated with in situ SEM and TEM small scale testing systems, for allowing simultaneous visualization of the deformation process during mechanical tests
The utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…
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…