Rohwerder, M.; Duc, L.; Michalik, A.: In situ investigation of corrosion localised at the buried interface between metal and conducting polymer based composite coatings. Electrochimica Acta 54 (25), pp. 6075 - 6081 (2009)
Rohwerder, M.; Michalik, A.: Conducting polymers for corrosion protection: What makes the difference between failure and success? Electrochimica Acta 53 (3 SPEC. ISS.), pp. 1301 - 1314 (2007)
Michalik, A.; Rohwerder, M.: Long-range ion transport properties of conducting-polymers. 59th Annual Meeting of the International Society of Electrochemistry, Sevilla, Spain (2008)
Michalik, A.; Paliwoda-Porebska, G.; Rohwerder, M.: Mechanism of corrosion protection by conducting polymers. 57th Annual Meeting of the International Society of Electrochemistry, Edinburgh, UK (2006)
Paliwoda-Porebska, G.; Michalik, A.; Rohwerder, M.: Conducting polymer coatings for corrosion protection: Pros and cons. Gordon Research Conference on Aqueous Corrosion, New London, NH, USA (2004)
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
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.