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
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.