Publications
0
Total Papers
0
Conferences
0
First Author
0
Citations
Publications
†: co-first authors,
*: corresponding authors
23
Phase-transformation-enabled linear junctions drive high-rate electrosynthesis of H₂O₂
22
From Atomic Motif to Realistic Single Atom Catalysts through Machine Learning Interatomic Potentials
ACS Energy Lett.
21
TiO₂-facet-dependent reconstruction of Pt nanoparticles during CO oxidation
Nat. Commun.
20
Hierarchical ceria nanoarchitecture enabling accelerated lattice oxygen dynamics for advanced redox reactions
Nat. Catal.
19
Understanding oxygen transfer on ceria with Pt single atoms for surface reaction
Nat. Commun.
18
CatBench: Benchmark framework of Machine Learning Interatomic Potentials for Adsorption Energy Predictions in Heterogeneous Catalysis
Cell Rep. Phys. Sci.
17
Appl. Catal. B-Environ. Energy, 379, 125672
16
ACS Appl. Mater. Interfaces, 17, 40517-40526
14
Angew. Chem. Int. Ed., 64, 2401248
13
ACS Energy Letters, 9, 5413-5420
12
Chemical Engineering Journal, 494, 152797
9
8
Applied Catalysis B: Environmental, 335, 122873
7
Journal of Materials Chemistry A, 11, 2857-2867
5
Role of an Interface for Hydrogen Production Reaction over Size-Controlled Supported Metal Catalysts
ACS Catalysis, 12(13), 8082-8093
4
Chemical Engineering Journal, 433, 133571
3
Advanced Energy Materials, 12(7), 2103495
2
Journal of Materials Chemistry A, 10(33), 17132-17141
1
Nanoscale Advances, 3(24), 6797-6826
Conference Presentations
15
Graph Neural Network Distillation for Scalable Catalytic Material Exploration
American Institute of Chemical Engineers (AICHE), Boston, United States
14
Graph Neural Networks for Exploring Active Sites in Single-Atom and Exsolution Catalysts for Redox Reactions
American Institute of Chemical Engineers (AICHE), Boston, United States
13
Highly Reactive Ceria Nanomaces for Enhanced Lattice Oxygen Kinetics for Oxidation Reactions
The 29th North American Catalysis Society Meeting (NAM29), Atlanta, United States
12
Fast and Domain-Accurate Graph Neural Network for Pt Single Atom Systems via Transfer Learning
The 29th North American Catalysis Society Meeting (NAM29), Atlanta, United States
11
Decoding Ni Exsolution in Ceria Catalysts Using a Kinetics-Aware Graph Neural Network
2025 The Korean Society of Industrial and Engineering Chemistry (KSIEC), Jeju, South Korea
10
Kinetics-based Graph Neural Network Simulation of Nickel Exsolution Growth in Ceria Catalysts
Korean Institute of Chemical Engineers (KICHE), Daegu, South Korea
9
Machine Learning Potentials in Multiscale Simulation of Heterogeneous Catalysis using Machine Learning Potential
American Institute of Chemical Engineers (AICHE), San Diego, United States
8
Lattice Oxygen Kinetics in Nanostructured Ceria: Combining Graph Neural Network Multi-scale Simulations and In-situ DRIFT Characterization
American Institute of Chemical Engineers (AICHE), San Diego, United States
7
Unravelling the Lattice Oxygen Activation in Nanostructured Ceria using Graph Neural Network Multi-scale Simulations
Korean Institute of Chemical Engineers (KICHE), Busan, South Korea
6
Breaking Scaling Relation of Electrochemical Oxygen Reduction Catalysis through Iron-Hydroxide Decoration
NANO KOREA 2023 Symposium, Seoul, South Korea
5
Mechanistic Origin of Selective and Active Electrochemical Ozone Evolution Reaction over Ni-Sb-SnO₂ Electrode
The 28th North American Catalysis Society Meeting (NAM28), Providence, Rhode Island, United States
4
First-Principles Design of Rh-based Alloy Catalysts for Selective Propane Dehydrogenation
American Institute of Chemical Engineers (AICHE), Arizona, United States
3
First-principles Design of Rh-based Alloy Catalysts for Selective Propane Dehydrogenation
Korean Institute of Chemical Engineers (KICHE), Jeju, South Korea
2
Density Functional Theory Study of the Pronounced Effect of Sn on RhSn Catalysts for Propane Dehydrogenation
International Union of Materials Research Societies - International Conference in Asia (IUMRS-ICA), Jeju, South Korea
1
Revealing Highly Active Origin of Rhodium for Catalytic Dehydrogenation of Light Alkanes Using Kinetic Monte Carlo Simulation
Korean Institute of Chemical Engineers (KICHE), Gwangju, South Korea