Rabe, M.; Toparli, C.; Chen, Y.-H.; Kasian, O.; Mayrhofer, K. J. J.; Erbe, A.: Alkaline manganese electrochemistry studied by in situ and operando spectroscopic methods - metal dissolution, oxide formation and oxygen evolution. Physical Chemistry Chemical Physics 21 (20), pp. 10457 - 10469 (2019)
Toparli, C.; Ebin, B.; Gürmen, S.: Synthesis, structural and magnetic characterization of soft magnetic nanocrystalline ternary FeNiCo particles. Journal of Magnetism and Magnetic Materials 423, pp. 133 - 139 (2017)
Toparli, C.; Sarfraz, A.; Erbe, A.: A new look at oxide formation at the copper/electrolyte interface by in situ spectroscopies. Physical Chemistry Chemical Physics 17, pp. 31670 - 31679 (2015)
Erbe, A.; Nayak, S.; Chen, Y.-H.; Niu, F.; Pander, M.; Tecklenburg, S.; Toparli, C.: How to probe structure, kinetics and dynamics at complex interfaces in situ and operando by optical spectroscopy. In: Encyclopedia of Interfacial Chemistry: Surface Science and Electrochemistry; part of "Reference Module in Chemistry, Molecular Sciences and Chemical Engineering", pp. 199 - 219 (Ed. Wandelt, K.). Elsevier, Waltham, MA, USA (2017)
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)
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
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
Electron microscopes offer unique capabilities to probe materials with extremely high spatial resolution. Recent advancements in in situ platforms and electron detectors have opened novel pathways to explore local properties and the dynamic behaviour of materials.
In this project, we aim to design novel NiCoCr-based medium entropy alloys (MEAs) and further enhance their mechanical properties by tuning the multiscale heterogeneous composite structures. This is being achieved by alloying of varying elements in the NiCoCr matrix and appropriate thermal-mechanical processing.
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.