| Adatom Doping of Transition Metals in ReSe2 Nanosheets for Enhanced Electrocatalytic Hydrogen Evolution Reaction IS Kwon, IH Kwak, S Ju, S Kang, S Han, YC Park, J Park, J Park ACS nano 14 (9), 12184-12194, 2020 | 81 | 2020 |
| Training machine-learning potentials for crystal structure prediction using disordered structures C Hong, JM Choi, W Jeong, S Kang, S Ju, K Lee, J Jung, Y Youn, S Han Physical Review B 102 (22), 224104, 2020 | 34 | 2020 |
| Reconfigurable manipulation of oxygen content on metal oxide surfaces and applications to gas sensing G Jung, S Ju, K Choi, J Kim, S Hong, J Park, W Shin, Y Jeong, S Han, ... ACS nano 17 (18), 17790-17798, 2023 | 20 | 2023 |
| Computational Identification of Transition-Metal Dichalcogenides for Electrochemical CO2 Reduction to Highly Reduced Species Beyond CO and HCOOH S Kang, S Ju, S Han, Y Kang The Journal of Physical Chemistry C 124 (47), 25812-25820, 2020 | 13 | 2020 |
| In‐memory‐computed low‐frequency noise spectroscopy for selective gas detection using a reducible metal oxide W Shin, J Kim, G Jung, S Ju, SH Park, Y Jeong, S Hong, RH Koo, Y Yang, ... Advanced Science 10 (7), 2205725, 2023 | 7 | 2023 |
| Applications and training sets of machine learning potentials C Hong, J Kim, J Kim, J Jung, S Ju, JM Choi, S Han Science and Technology of Advanced Materials: Methods 3 (1), 2269948, 2023 | 6 | 2023 |
| Electrochemical Degradation of Pt3Co Nanoparticles Investigated by Off-Lattice Kinetic Monte Carlo Simulations with Machine-Learned Potentials J Jung, S Ju, P Kim, D Hong, W Jeong, J Lee, S Han, S Kang ACS Catalysis 13 (24), 16078-16087, 2023 | 4 | 2023 |
| Disorder-Dependent Li Diffusion in Li6PS5Cl Investigated by Machine-Learning Potential J Lee, S Ju, S Hwang, J You, J Jung, Y Kang, S Han ACS Applied Materials & Interfaces 16 (35), 46442-46453, 2024 | 3 | 2024 |
| Chemisorption Manipulation by Adjusting the Carrier Concentration of the Adsorbent and Its Application to Adsorbate Identification G Jung, K Choi, S Ju, J Kim, W Shin, S Lee, G Yeom, RH Koo, YC Joo, ... ACS Materials Letters 6, 4783-4790, 2024 | | 2024 |
| Disorder-dependent Li diffusion in investigated by machine learning potential J Lee, S Ju, S Hwang, J You, J Jung, Y Kang, S Han arXiv preprint arXiv:2310.19350, 2023 | | 2023 |
| Supporting Information: Electrochemical degradation of Pt3 Co nanoparticles investigated by off-lattice kinetic Monte Carlo simulations with machine-learned potentials J Jung, S Ju, P Kim, D Hong, W Jeong, J Lee, S Han, S Kang | | |
Seungwu HanSeoul National University在 snu.ac.kr 的电子邮件经过验证
