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)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
Hydrogen in aluminium can cause embrittlement and critical failure. However, the behaviour of hydrogen in aluminium was not yet understood. Scientists at the Max-Planck-Institut für Eisenforschung were able to locate hydrogen inside aluminium’s microstructure and designed strategies to trap the hydrogen atoms inside the microstructure. This can…
Within this project, we will use a green laser beam source based selective melting to fabricate full dense copper architectures. The focus will be on identifying the process parameter-microstructure-mechanical property relationships in 3-dimensional copper lattice architectures, under both quasi-static and dynamic loading conditions.
The prediction of materials properties with ab initio based methods is a highly successful strategy in materials science. While the working horse density functional theory (DFT) was originally designed to describe the performance of materials in the ground state, the extension of these methods to finite temperatures has seen remarkable…