Mondragón Ochooa, J. S.; Altin, A.; Rechmann, J.; Erbe, A.: Delamination Kinetics of Thin Film Poly(acrylate) Model Coatings Prepared by Surface Initiated Atom Transfer Radical Polymerization on Iron. Journal of the Electrochemical Society 165 (16), pp. C991 - C998 (2018)
Mondragon Ochoa, J. S.; Altin, A.; Erbe, A.: Comparison of cathodic delamination of poly(n-alkyl methacrylates) on iron. Materials and Corrosion - Werkstoffe und Korrosion 68, pp. 1326 - 1332 (2017)
Mondragon Ochoa, J. S.; Altin, A.; Rohwerder, M.; Erbe, A.: Surface Modification of Iron With Grafted Hydrophobic Acrylic Polymers and Study of Their Delamination Kinetics. Polymers and Organic Chemistry POC16, Hersonissos (Crete), Greece (2016)
Mondragon Ochoa, J. S.: Preparation of Polyacrylic Thin Films on Iron by Controlled Radical Polymerization and their Delamination Behaviour. Dissertation, Ruhr-Universität Bochum, Bochum, Germany (2018)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
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…