2020 | Catalyst-electrolyte interface chemistry for electrochemical CO(2)reduction | 나종걸 | Review |
2022 | CFD modeling for the prediction of molecular weight distribution in the LDPE autoclave reactor: Effects of non-ideal mixing | 나종걸 | Article |
2024 | Chemical Process Design in Net Zero Era | 하지우 | Master's Thesis |
2021 | Clustered Manifold Approximation and Projection for Semisupervised Fault Diagnosis and Process Monitoring | 나종걸 | Article |
2023 | Comparison of Derivative-Free Optimization: Energy Optimization of Steam Methane Reforming Process | 한아름; 나종걸 | Article |
2020 | Data-driven pilot optimization for electrochemical CO mass production | 나종걸 | Article |
2022 | Data-driven robust optimization for minimum nitrogen oxide emission under process uncertainty | 나종걸 | Article |
2022 | Deep Neural Network-based Optimization Framework for Safety Evacuation Route during Toxic Gas Leak Incidents | 나종걸 | Article |
2021 | Design methodology for mass transfer-enhanced large-scale electrochemical reactor for CO2 reduction | 나종걸 | Article |
2023 | Design variable optimization and reactor modeling using computational fluid dynamics | 이예송 | Master's Thesis |
2019 | Development of surrogate model using CFD and deep neural networks to optimize gas detector layout | 나종걸 | Article |
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 |