Yoo, S.-H.; Aota, L. S.; Shin, S.; El-Zoka, A. A.; Kang, P. W.; Lee, Y.; Lee, H.; Kim, S.-H.; Gault, B.: Dopant Evolution in Electrocatalysts after Hydrogen Oxidation Reaction in an Alkaline Environment. ACS Energy Letters 8 (8), pp. 3381 - 3386 (2023)
Yoo, S.-H.; Siemer, N.; Todorova, M.; Marx, D.; Neugebauer, J.: Deciphering Charge Transfer and Electronic Polarization Effects at Gold Nanocatalysts on Reduced Titania Support. The Journal of Physical Chemistry C 123 (9), pp. 5495 - 5506 (2019)
Kim, C.-E.; Yoo, S.-H.; Bahr, D. F.; Stampfl, C.; Soon, A.: Uncovering the Thermo-Kinetic Origins of Phase Ordering in Mixed-Valence Antimony Tetroxide by First-Principles Modeling. Inorganic Chemistry 56 (11), pp. 6545 - 6550 (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
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.