Publications of Yonghyuk Lee

Lee, Y.; Timmermann, J.; Panosetti, C.; Scheurer, C.; Reuter, K.: Staged Training of Machine-Learning Potentials from Small to Large Surface Unit Cells: Efficient Global Structure Determination of the RuO₂(100)-c(2 × 2) Reconstruction and (410) Vicinal. The Journal of Physical Chemistry C 127 (35), pp. 17599 - 17608 (2023)

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)

Panosetti, C.; Lee, Y.; Samtsevych, A.; Scheurer, C.: Black box vs gray box: Comparing GAP and GPrep-DFTB for ruthenium and ruthenium oxide. The Journal of Chemical Physics 158 (22), 224115 (2023)

Lee, Y.; Scheurer, C.; Reuter, K.: Epitaxial Core-Shell Oxide Nanoparticles: First-Principles Evidence for Increased Activity and Stability of Rutile Catalysts for Acidic Oxygen Evolution. ChemSusChem 15 (10), e202200015 (2022)

Timmermann, J.; Lee, Y.; Staacke, C.; Margraf, J.; Scheurer, C.; Reuter, K.: Data-Efficient Iterative Training of Gaussian Approximation Potentials: Application to Surface Structure Determination of Rutile IrO₂ and RuO₂. The Journal of Chemical Physics 155 (24), 244107 (2021)

Lee, Y.: Discoveries in Ruthenium Oxide-Based Catalysts: From Morphology Control for Water Electrolysis to Surface Structure Determination via Machine-Learning. Dissertation, Technische Universität, München (2022)