Publications of Yonghyuk Lee

Journal Article (5)

2023
Journal Article
Y. Lee, J. Timmermann, C. Panosetti, C. Scheurer and K. Reuter: 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), 17599–17608 (2023).
Journal Article
S.-H. Yoo, L.S. Aota, S. Shin, A.A. El-Zoka, P.W. Kang, Y. Lee, H. Lee, S.-H. Kim and B. Gault: Dopant Evolution in Electrocatalysts after Hydrogen Oxidation Reaction in an Alkaline Environment. ACS Energy Letters 8 (8), 3381–3386 (2023).
Journal Article
C. Panosetti, Y. Lee, A. Samtsevych and C. Scheurer: Black box vs gray box: Comparing GAP and GPrep-DFTB for ruthenium and ruthenium oxide. The Journal of Chemical Physics 158 (22), 224115 (2023).
2022
Journal Article
Y. Lee, C. Scheurer and K. Reuter: 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).
2021
Journal Article
J. Timmermann, Y. Lee, C. Staacke, J. Margraf, C. Scheurer and K. Reuter: 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).

Thesis - PhD (1)

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