Uebel, M.; Shkirskiy, V.; Maltseva, A.; Lefèvre, G.; Volovitch, P.; Rohwerder, M.: New Insights on the Mechanism of Cathodic Driven Coating Delamination: Suppressed Cation Migration along Zn/Polymer Interface in CO2 Containing Atmosphere. Gordon Research Conferences 2018, New London, NH, USA (2018)
Merz, A.; Uebel, M.; Rohwerder, M.: Investigation of the role of protection zone around conducting polymer in composite coatings in inhibiting delamination process. Gordon Research Conferences 2016, New London, NH, USA (2016)
Merz, A.; Uebel, M.; Rohwerder, M.: Investigation of the role of protection zone around conducting polymer in composite coatings in inhibiting delamination process. Gordon Research Seminars 2016, New London, NH, USA (2016)
Uebel, M.; Rohwerder, M.: Conducting polymer based anticorrosion composite coatings with full-scale self-healing ability on zinc and galvanized steel. Gordon Research Conferences 2016, New London, NH, USA (2016)
Uebel, M.; Rohwerder, M.: Conducting polymer based anticorrosion composite coatings with full-scale self-healing ability on zinc and galvanized steel. Gordon Research Seminars 2016, New London, NH, USA (2016)
Uebel, M.: Release and transport of corrosion inhibitors in self-healing coatings for intelligent corrosion protection. Dissertation, Ruhr-Universität Bochum (2019)
Uebel, M.: Präparation und Oberflächenmodifikation von potentialstabilen Ni/Cr-Nadeln als Referenzelektroden für die Rasterkelvinsonde in verschiedenen Luftfeuchten. Master, Fachbereich Chemie – Physikalische Chemie, Universität Duisburg-Essen, Duisburg, Germany (2014)
Uebel, M.: Produktionsbegleitende Analyse von Eisenbasis-Sonderlegierungen mittels der ICP-OES in Rahmen der Werkstoffentwicklung. Bachelor, Anorganische Analytik, Westfälische Hochschule, Recklinghausen, Germany (2011)
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
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…
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.