Prabhakar, J. M.; Ostendorf, A.: Fundamental investigation of the cathodic delamination behaviour of model polymer coating on novel chromium-based coatings electrodeposited from a trivalent chromium-formate electrolyte. Dissertation, Ruhr-Universität Bochum, Fakultät für Maschinenbau (2022)
Niu, F.: Investigation of interfacial water structure at Ge(100)/electrolyte interfaces by attenuated total reflection infrared spectroscopy. Dissertation, Ruhr University Bochum, Bochum, Germany (2018)
Chen, Y.-H.: A comprehensive in situ spectroscopic study of 2-mercaptobenzothiazole as a corrosion inhibitor for copper. Dissertation, Fakultät für Chemie und Biochemie der Ruhr-Universität Bochum, Bochum, Germany (2018)
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)
Toparli, C.: Passivity and passivity breakdown on copper: In situ and operando observation of surface oxides. Dissertation, Ruhr-Universität Bochum, Fakultät Maschinenbau, Bochum, Germany (2017)
Fernández Solis, C. D.: Application of biopolymer-organosiloxane hybrid films as protective barrier on metallic surfaces. Dissertation, Fakultät für Chemie und Biochemie der Ruhr-Universität Bochum, Bochum, Germany (2016)
Pengel, S.: Anwendung eines Quantenkaskadenlasers in der Zeitaufgelösten Laserabsorptionsspektroskopie zur kinetischen Untersuchung der elektrochemischen Sauerstoffreduktion an Germanium. Dissertation, Fakultät für Chemie und Biochemie, Ruhr-Universität Bochum, Bochum, Germany (2015)
Iqbal, D.: Ultrathin Chemisorbed Polymer Coatings: Corrosion Protection and Nanostructuring of ZnO. Dissertation, Faculty of Chemistry and Biochemistry, Ruhr University Bochum, Bochum, Germany (2014)
Rabe, M.; Kasian, O.; Mayrhofer, K. J. J.; Erbe, A.: Schlussbericht zum Vorhaben: Mechanistische Untersuchungen der elektrochemischen Sauerstoffentwicklung auf Modellelektroden - Stabilität der Elektroden, Natur der Oxide und Intermediate - Teilvorhaben des Clusterprojekts "Mangan". Technische Informationsbibliothek (TIB) Hannover, Hannover, Germany (2019), 32 pp.
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
New product development in the steel industry nowadays requires faster development of the new alloys with increased complexity. Moreover, for these complex new steel grades, it is more challenging to control their properties during the process chain. This leads to more experimental testing, more plant trials and also higher rejections due to…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
Advanced microscopy and spectroscopy offer unique opportunities to study the structure, composition, and bonding state of individual atoms from within complex, engineering materials. Such information can be collected at a spatial resolution of as small as 0.1 nm with the help of aberration correction.
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…
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.