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2026 (10)
투고
Oxidation-driven single-atom reconstruction on nitrides for robust photocatalytic biosynthesis
Joule, 투고 (2026)
투고
Elucidating the impact of molybdenum speciation on carburization dynamics over Mo/ZSM-5 in methane dehydroaromatization: A combined experimental and machine-learning interatomic potential study
투고 (2026)
투고
Phase-transformation-enabled linear junctions drive high-rate electrosynthesis of H₂O₂
투고 (2026)
심사 중
TiO₂-facet-dependent reconstruction of Pt nanoparticles during CO oxidation
Nature Communications, 심사 중 (2026)
심사 중
High-performance gas sensors through predictive material design
Nature Sensors, 심사 중 (2026)
25
Nature Communications (2026)
24
npj Computational Materials (2026)
23
Applied Catalysis B: Environment and Energy, 391, 126646 (2026)
22
ICLR 2026 Workshop AI4Mat (2026)
2025 (7)
20
AI4Mat-NeurIPS-2025 (2025)
19
From Atomic Motif to Realistic Single Atom Catalysts through Machine Learning Interatomic Potentials
ACS Energy Letters, 10, 6288-6296 (2025)
18
Cell Reports Physical Science, 6, 102968 (2025)
17
Applied Catalysis B: Environmental, 379, 125672 (2025)
16
ACS Applied Materials & Interfaces, 17, 40517-40526 (2025)
15
Chem, 11, 102367 (2025)
14
Angew. Chem. Int. Ed., 64, e202421218 (2025)
2021–2024 · POSTECH 박사과정 (13)
13
ACS Energy Letters, 9, 5413-5420 (2024)
12
Chemical Engineering Journal, 494, 152757 (2024)
11
Catalysis Today, 425, 114358 (2024)
10
9
Chem, 9, 3415-3460 (2023)
8
Applied Catalysis B: Environmental, 335, 122873 (2023)
7
Journal of Materials Chemistry A, 11, 2857-2867 (2023)
5
Role of an Interface for Hydrogen Production Reaction over Size-Controlled Supported Metal Catalysts
ACS Catalysis, 12(13), 8082-8093 (2022)
4
Chemical Engineering Journal, 433, 133571 (2022)
3
Advanced Energy Materials, 12(7), 2103495 (2022)
2
Journal of Materials Chemistry A, 10(33), 17132-17141 (2022)
1
Nanoscale Advances, 3(24), 6797-6826 (2021)
학회 발표
2026 (3)
예정
Compressing Machine Learning Interatomic Potentials via Relational Knowledge Distillation for High-Throughput Electrocatalyst Screening
ACS Fall 2026, Chicago, United States
20
Angular Relational Knowledge Distillation for Accelerating Equivariant Graph Neural Network Potentials
The Korean Society of Industrial and Engineering Chemistry (KSIEC) Spring Meeting, South Korea
19
Distilling Machine Learning Interatomic Potentials for Scalable Catalyst Discovery
Korean Institute of Metals and Materials (KIM) Spring Meeting, South Korea
2025 (8)
18
Ceria Nanoarchitectures with Enhanced Oxygen Mobility for Redox Reactions
10th Asia-Pacific Congress on Catalysis (APCAT-10) & 4th International Symposium on Single-Atom Catalysis (ISSAC-4), Singapore
17
Atomistic Intelligence for Sustainable Chemical Engineering: Ontology-Guided Discovery and Multiscale Modeling in Catalysis
American Institute of Chemical Engineers (AIChE), Boston, United States
16
Graph Neural Network Distillation for Scalable Catalytic Material Exploration
American Institute of Chemical Engineers (AIChE), Boston, United States
15
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
14
Highly Reactive Ceria Nanomaces for Enhanced Lattice Oxygen Kinetics for Oxidation Reactions
The 29th North American Catalysis Society Meeting (NAM29), Atlanta, United States
13
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
12
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
11
Kinetics-based Graph Neural Network Simulation of Nickel Exsolution Growth in Ceria Catalysts
Korean Institute of Chemical Engineers (KICHE), Daegu, South Korea
2021–2024 · POSTECH 박사과정 (10)
10
Machine Learning Potentials in Multiscale Simulation of Heterogeneous Catalysis
American Institute of Chemical Engineers (AIChE), San Diego, United States
9
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
8
Unravelling the Lattice Oxygen Activation in Nanostructured Ceria using Graph Neural Network Multi-scale Simulations
Korean Institute of Chemical Engineers (KICHE), Busan, South Korea
7
Breaking Scaling Relation of Electrochemical Oxygen Reduction Catalysis through Iron-Hydroxide Decoration
NANO KOREA 2023 Symposium, Seoul, South Korea
6
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
5
First-Principles Design of Rh-based Alloy Catalysts for Selective Propane Dehydrogenation
American Institute of Chemical Engineers (AIChE), Arizona, United States
4
First-principles Design of Rh-based Alloy Catalysts for Selective Propane Dehydrogenation
Korean Institute of Chemical Engineers (KICHE), Jeju, South Korea
3
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
2
Density Functional Theory Study of selective electrochemical ozone production on SiOx deposited Ni-Sb-SnO₂
Korean Institute of Chemical Engineers (KICHE), Busan, 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