Vimalanandan, A.; Lv, L. P.; Zhao, Y.; Landfester, K.; Crespy, D.; Rohwerder, M.: Active corrosion protection coatings based on potential triggered release systems. EUROCORR 2013, the European Corrosion Congress, “For a blue sky”, Estoril, Portugal (2013)
Krieg, R.; Vimalanandan, A.; Rohwerder, M.; Theirry, D.; Le Bozec, N.: Corrosion Performance of Zinc Magnesium Aluminium Coated steel: Discussion of fundamental mechanisms. 224th ECS Meeting, San Francisco, CA, USA (2013)
Rohwerder, M.: Electrochemistry of metal surfaces under nanoscopic electrolyte layers. 112th Bunsentagung (Annual German Conference on Physical Chemistry), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany (2013)
Rohwerder, M.: Corrosion Performance of Zinc Magnesium Aluminium Alloy Coated Steel: discussion of fundamental mechanisms. 224th ECS Meeting, San Francisco, CA, USA (2013)
Rohwerder, M.: Neuartige intelligent selbstheilende Korrosionsschutzsysteme. 5. Korrosions-schutz-Symposium, Korrosionsschutz durch Beschichtungen in Theorie und Praxis, Kloster Banz, Germany (2013)
Merzlikin, S. V.; Rohwerder, M.: Detection of Local Hydrogen Distribution by SIMS. Possibility of the Electrochemical SIMS Calibration for Quantification of Hydrogen in Metallic Matrix. International Symposium on Metal-Hydrogen Systems 2012 (MH2012) , Kyoto, Japan (2012)
Salgin, B.; Rohwerder, M.: Ion Mobility Studies on Al2O3 Surfaces. 63rd Annual Meeting of the International Meeting of the International Society of Electrochemistry, Prague, Czech Republic (2012)
Salgin, B.; Rohwerder, M.: Mobility of water and charge carriers in polymer/oxide/aluminium alloy interphases. M2i-DPI Project Meeting at AkzoNobel, Sassenheim, The Netherlands (2012)
Rohwerder, M.: Selbstheilende Beschichtungen für einen intelligenten Korrosionsschutz. FARBE UND LACK Konferenz: Neue Konzepte für Korrosionsschutzbeschichtungen, Stuttgart, Germany (2012)
Rohwerder, M.: High-sensitive and locally resolved hydrogen detection in metals by scanning Kelvin probe technique. NIMS conference, Tsukuba, Japan (2012)
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…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…