| 2021 | Efficient Bayesian inference using adversarial machine learning and low-complexity surrogate models | 나종걸 | Article |
| 2021 | Efficient Discovery of Active, Selective, and Stable Catalysts for Electrochemical H2O2 Synthesis through Active Motif Screening | 나종걸 | Article |
| 2021 | Electrocatalytic Reduction of Low Concentrations of CO2 Gas in a Membrane Electrode Assembly Electrolyzer | 나종걸 | Article |
| 2023 | Explainable Artificial Intelligence (XAI) Surrogate Models for Chemical Process Design and Analysis; [화학 공정 설계 및 분석을 위한 설명 가능한 인공지능 대안 모델] | 나종걸 | Article |
| 2019 | General technoeconomic analysis for electrochemical coproduction coupling carbon dioxide reduction with organic oxidation | 나종걸 | Article |
| 2021 | Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention | 나종걸 | Article |
| 2023 | Green hydrogen and sustainable development – A social LCA perspective highlighting social hotspots and geopolitical implications of the future hydrogen economy | 나종걸 | Article |
| 2020 | In silicodiscovery of active, stable, CO-tolerant and cost-effective electrocatalysts for hydrogen evolution and oxidation | 나종걸 | Article |
| 2021 | Learning the properties of a water-lean amine solvent from carbon capture pilot experiments | 나종걸 | Article |
| 2021 | Machine learning-based utilization of renewable power curtailments under uncertainty by planning of hydrogen systems and battery storages | 나종걸 | Article |
| 2020 | Mass Transport Control by Surface Graphene Oxide for Selective CO Production from Electrochemical CO2 Reduction | 나종걸 | Article |
| 2024 | Materials Discovery using Reinforcement Learning and Application in Real World | 최혜연 | Master's Thesis |
| 2022 | Microenvironments of Cu catalysts in zero-gap membrane electrode assembly for efficient CO2 electrolysis to C2+ products | 나종걸 | Article |
| 2023 | Microkinetic study of syngas conversion to dimethyl ether over a bifunctional catalyst: CZA/FER | 나종걸 | Article |
| 2024 | Modeling and Optimization of Systems for CO2 Reduction through Computational Fluid Dynamics | 이선영 | Master's Thesis |
| 2023 | Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning | 나종걸 | Article |
| 2019 | Multicompartment Model of an Ethylene-Vinyl Acetate Autoclave Reactor: A Combined Computational Fluid Dynamics and Polymerization Kinetics Model | 나종걸 | Article |
| 2023 | Optimal planning of hybrid energy storage systems using curtailed renewable energy through deep reinforcement learning | 나종걸 | Article |
| 2024 | Optimal Scheduling and Planning for Energy Systems through Reinforcement Learning | 황보수민 | Master's Thesis |
| 2023 | Optimizing Energy Management for New & Renewable Energy through Deep Reinforcement Learning | 강도은 | Master's Thesis |
| 2022 | Origin of Hydrogen Incorporated into Ethylene during Electrochemical CO2 Reduction in Membrane Electrode Assembly | 나종걸 | Article |
| 2022 | Physics-informed deep learning for data-driven solutions of computational fluid dynamics | 나종걸 | Article |
| 2024 | Production rescheduling via explorative reinforcement learning while considering nervousness | 나종걸 | Article |
| 2024 | Stable Chemical Product Design via Deep Learning | 신다은 | Master's Thesis |
| 2024 | Sustainable Process Design of Electrochemical Processes | 이수현 | Master's Thesis |
| 2020 | Toward the practical application of direct CO2 hydrogenation technology for methanol production | 나종걸 | Article |
| 2021 | Towards the Large-Scale Electrochemical Reduction of Carbon Dioxide | 나종걸 | Review |
| 2024 | Ultrasound-based separation of ethanol-water mixtures is economically advantageous and sustainable | 나종걸 | Article |
