Uebel, M.; Exbrayat, L.; Rabe, M.; Tran, T. H.; Crespy, D.; Rohwerder, M.: Role of Trigger Signal Spreading Velocity on Self-healing Capability of Intelligent Coatings for Corrosion Protection. Scientific Advisory Board Meeting 2019, 6-years Evaluation of the Max-Planck-Institut für Eisenforschung GmbH, Düsseldorf, Germany (2019)
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)
Pang, B.; Stratmann, M.; Vogel, D.; Erbe, A.; Rohwerder, M.: Characterization of electrochemical double layer formed on Au (111) electrode: a KPM, FTIR and APXPS investigation. 2nd Annual APXPS Workshop, Berkeley, CA, USA (2015)
Vogel, D.; Vogel, A.; Rohwerder, M.: The investigation of the internal oxidation during short-term annealing in binary and ternary alloys. Gordon Research Conference on High Temperature Corrosion, New London, NH, USA (2015)
Vogel, D.; Vogel, A.; Rohwerder, M.: The investigation of the internal oxidation during midterm-term annealing in binary and ternary alloys. Gordon Research Conference on High Temperature Corrosion, New London, NH, USA (2015)
Tran, T. H.; Vimalanandan, A.; Rohwerder, M.: Electrodeposited zinc-nanocomposite coatings for smart corrosion protection. EUROCORR 2013, the European Corrosion Congress, “For a blue sky”, Estoril, Portugal (2013)
Auinger, M.; Vogel, A.; Rohwerder, M.: High Temperature Corrosion in low-activity gases - Theoretical Calculations and Experimental Comparison of Oxide, Nitride and Carbide Formation. Gordon Research Seminar on High Temperature Corrosion, New London, CT, USA (2013)
Vogel, A.; Vogel, D.; Auinger, M.; Rohwerder, M.: An experimental set-up for in-situ thermogravimetry in low pressure environments. Gordon Research Seminar on High Temperature Corrosion, New London, CT, USA (2013)
Vogel, D.; Borodin, S.; Auinger, M.; Keil, P.; Rohwerder, M.: Near Ambient Pressure XPS studies on the oxide formation on Fe–2Mn during thermal treatment. Gordon Research Seminar on High Temperature Corrosion, New London, CT, USA (2013)
Altin, A.; Erbe, A.; Ritter, H.; Rohwerder, M.: Controlled release of inhibitors from composite organic coatings: A “green” way of corrosion protection. International Conference on self-Healing Materials, Ghent, Belgium (2013)
Lv, L. P.; Zhao, Y.; Vimalanandan, A.; Rohwerder, M.; Landfester, K.; Crespy, D.: Redox-responsive release of self-healing agent for anticorrosion. International Conference on Self-Healing Materials, Ghent, Belgium (2013)
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
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…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…