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