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• Optimal hybrid renewable microgrids via energy demand control using media platforms in South Korea Sustainable Cities and Society, 2025, v.118, 106027
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• Computational Fluid Dynamics Simulation for Controllable Residence Time Distribution in a Slug Flow Crystallizer Crystal Growth and Design, 2024, v.24 no.9, 3876-3887
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• Economic and environmental insights into the hybrid ethylene oxide production processes Chemical Engineering Journal, 2024, v.494, 152879
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• Materials discovery with extreme properties via reinforcement learning-guided combinatorial chemistry Chemical Science, 2024, v.15 no.21, 7908-7925
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• Multi-period hydrogen supply chain planning for advancing hydrogen transition roadmaps Renewable and Sustainable Energy Reviews, 2024, v.200, 114536
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• Multiphysics generalization in a polymerization reactor using physics-informed neural networks Chemical Engineering Science, 2024, v.298, 120385
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• Production rescheduling via explorative reinforcement learning while considering nervousness Computers and Chemical Engineering, 2024, v.186, 108700
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• Pulsed electrolysis for CO2 reduction: Techno-economic perspectives iScience, 2024, v.27 no.8, 110383
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• The AI circular hydrogen economist: Hydrogen supply chain design via hierarchical deep multi-agent reinforcement learning Chemical Engineering Journal, 2024, v.497, 154464
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• Ultrasound-based separation of ethanol-water mixtures is economically advantageous and sustainable Cell Reports Physical Science, 2024, v.5 no.2, 101785
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• A chemically inspired convolutional neural network using electronic structure representation JOURNAL OF MATERIALS CHEMISTRY A, 2023, v.11 no.19, 0
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• Comparison of Derivative-Free Optimization: Energy Optimization of Steam Methane Reforming Process INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2023, v.2023, 8868540
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• Explainable Artificial Intelligence (XAI) Surrogate Models for Chemical Process Design and Analysis; [화학 공정 설계 및 분석을 위한 설명 가능한 인공지능 대안 모델] Korean Chemical Engineering Research, 2023, v.61 no.4, 542-549
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• Green hydrogen and sustainable development – A social LCA perspective highlighting social hotspots and geopolitical implications of the future hydrogen economy Journal of Cleaner Production, 2023, v.395, 136438
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• Microkinetic study of syngas conversion to dimethyl ether over a bifunctional catalyst: CZA/FER Korean Journal of Chemical Engineering, 2023, v.40 no.11, 2632-2645
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• Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning Engineering Applications of Artificial Intelligence, 2023, v.117, 105463
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• Optimal planning of hybrid energy storage systems using curtailed renewable energy through deep reinforcement learning Energy, 2023, v.284, 128623
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• A stochastic agent-based cooperative scheduling model of a multi-vector microgrid including electricity, hydrogen, and gas sectors JOURNAL OF POWER SOURCES, 2022, v.546, 231989
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• Adversarial Autoencoder Based Feature Learning for Fault Detection in Industrial Processes IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, v.18 no.2, 827-834
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• CFD modeling for the prediction of molecular weight distribution in the LDPE autoclave reactor: Effects of non-ideal mixing Chemical Engineering Journal, 2022, v.427, 131829
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• Data-driven robust optimization for minimum nitrogen oxide emission under process uncertainty Chemical Engineering Journal, 2022, v.428, 130971
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• Deep Neural Network-based Optimization Framework for Safety Evacuation Route during Toxic Gas Leak Incidents Reliability Engineering and System Safety, 2022, v.218, 108102
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• Microenvironments of Cu catalysts in zero-gap membrane electrode assembly for efficient CO2 electrolysis to C2+ products JOURNAL OF MATERIALS CHEMISTRY A, 2022, v.10 no.19, 10363-10372
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• Origin of Hydrogen Incorporated into Ethylene during Electrochemical CO2 Reduction in Membrane Electrode Assembly ACS Energy Letters, 2022, v.7 no.3, 939-945
  SCIE Scopus dColl.
• Physics-informed deep learning for data-driven solutions of computational fluid dynamics Korean Journal of Chemical Engineering, 2022, v.39 no.3, 515-528
  SCIE Scopus KCI dColl.
• Bayesian Optimization of Semicontinuous Carbonation Process Operation Recipe INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2021, v.60 no.27, 9871-9884
  SCIE Scopus dColl.
• Bayesian optimization of industrial-scale toluene diisocyanate liquid-phase jet reactor with 3-D computational fluid dynamics model Journal of Industrial and Engineering Chemistry, 2021, v.98, 327-339
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• Clustered Manifold Approximation and Projection for Semisupervised Fault Diagnosis and Process Monitoring INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2021, v.60 no.26, 9521-9531
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• Design methodology for mass transfer-enhanced large-scale electrochemical reactor for CO2 reduction Chemical Engineering Journal, 2021, v.424, 130265
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• Efficient Bayesian inference using adversarial machine learning and low-complexity surrogate models Computers and Chemical Engineering, 2021, v.151, 107322
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• Efficient Discovery of Active, Selective, and Stable Catalysts for Electrochemical H2O2 Synthesis through Active Motif Screening ACS CATALYSIS, 2021, v.11 no.5, 2483-2491
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• Electrocatalytic Reduction of Low Concentrations of CO2 Gas in a Membrane Electrode Assembly Electrolyzer ACS ENERGY LETTERS, 2021, v.6 no.10, 3488-3495
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• Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2021, v.61 no.12, 5804-5814
  SCIE Scopus dColl.
• Learning the properties of a water-lean amine solvent from carbon capture pilot experiments Applied Energy, 2021 , 116213
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• Machine learning-based utilization of renewable power curtailments under uncertainty by planning of hydrogen systems and battery storages JOURNAL OF ENERGY STORAGE, 2021, v.41, 103010
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• Towards the large-scale electrochemical reduction of carbon dioxide Catalysts, 2021 , 1-30
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• Catalyst-electrolyte interface chemistry for electrochemical CO(2)reduction CHEMICAL SOCIETY REVIEWS, 2020, v.49 no.18, 6632-6665
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• Data-driven pilot optimization for electrochemical CO mass production JOURNAL OF MATERIALS CHEMISTRY A, 2020, v.8 no.33, 16943-16950
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• In silicodiscovery of active, stable, CO-tolerant and cost-effective electrocatalysts for hydrogen evolution and oxidation PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2020, v.22 no.35, 19454-19458
  SCIE Scopus dColl.
• Mass Transport Control by Surface Graphene Oxide for Selective CO Production from Electrochemical CO2 Reduction ACS CATALYSIS, 2020, v.10 no.5, 3222-3231
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• Toward the practical application of direct CO2 hydrogenation technology for methanol production International Journal of Energy Research, 2020, v.44 no.11, 8781-8798
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• An experimental based optimization of a novel water lean amine solvent for post combustion CO2 capture process APPLIED ENERGY, 2019, v.248, 174-184
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• Bayesian Inference of Aqueous Mineral Carbonation Kinetics for Carbon Capture and Utilization INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2019, v.58 no.19, 8246-8259
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• Development of surrogate model using CFD and deep neural networks to optimize gas detector layout KOREAN JOURNAL OF CHEMICAL ENGINEERING, 2019, v.36 no.3, 325-332
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• General technoeconomic analysis for electrochemical coproduction coupling carbon dioxide reduction with organic oxidation NATURE COMMUNICATIONS, 2019, v.10, 5193
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• Multicompartment Model of an Ethylene-Vinyl Acetate Autoclave Reactor: A Combined Computational Fluid Dynamics and Polymerization Kinetics Model INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2019, v.58 no.36, 16459-16471
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• [학술지논문] Explainable Artificial Intelligence for Fault Diagnosis of Industrial Processes IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2025, v.1 no.1 , 1-1
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• [학술지논문] Maximizing biomass utilization: An integrated strategy for coproducing multiple chemicals JOURNAL OF ENERGY CHEMISTRY, 2025, v.100 no.1 , 180-191
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• [학술지논문] Optimal hybrid renewable microgrids via energy demand control using media platforms in South Korea SUSTAINABLE CITIES AND SOCIETY, 2025, v.118 no.1 , 106027-106027
  SCIE
• [학술지논문] Computational Fluid Dynamics Simulation for Controllable Residence Time Distribution in a Slug Flow Crystallizer CRYSTAL GROWTH & DESIGN, 2024, v.24 no.9 , 3876-3887
  SCIE
• [학술지논문] Economic and environmental insights into the hybrid ethylene oxide production processes CHEMICAL ENGINEERING JOURNAL, 2024, v.494 no.1 , 152879-152879
  SCIE
• [학술지논문] Materials discovery with extreme properties via reinforcement learning-guided combinatorial chemistry CHEMICAL SCIENCE, 2024, v.15 no.21 , 7908-7925
  SCIE
• [학술지논문] Molar-scale formate production via enzymatic hydration of industrial off-gases Nature Chemical Engineering, 2024, v.1 no.1 , 354-364
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• [학술지논문] Multiphysics generalization in a polymerization reactor using physics-informed neural networks CHEMICAL ENGINEERING SCIENCE, 2024, v.298 no.1 , 120385-120385
  SCIE
• [학술지논문] Production rescheduling via explorative reinforcement learning while considering nervousness COMPUTERS & CHEMICAL ENGINEERING, 2024, v.186 no.1 , 108700-108700
  SCIE
• [학술지논문] Pulsed electrolysis for CO2 reduction: Techno-economic perspectives ISCIENCE, 2024, v.27 no.8 , 110383-110383
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• [학술지논문] The AI circular hydrogen economist: Hydrogen supply chain design via hierarchical deep multi-agent reinforcement learning CHEMICAL ENGINEERING JOURNAL, 2024, v.497 no.1 , 154464-154464
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• [학술지논문] Ultrasound-based separation of ethanol-water mixtures is economically advantageous and sustainable CELL REPORTS PHYSICAL SCIENCE, 2024, v.5 no.2 , 101785-101785
  SCIE
• [학술지논문] A chemically inspired convolutional neural network using electronic structure representation JOURNAL OF MATERIALS CHEMISTRY A, 2023, v.11 no.19 , 10184-10184
  SCIE
• [학술지논문] Comparison of Derivative-Free Optimization: Energy Optimization of Steam Methane Reforming Process INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2023, v.2023 no.1 , 1-20
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• [학술지논문] Green hydrogen and sustainable development-A social LCA perspective highlighting social hotspots and geopolitical implications of the future hydrogen economy JOURNAL OF CLEANER PRODUCTION, 2023, v.395 no.1 , 136438-136438
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• [학술지논문] Microkinetic study of syngas conversion to dimethyl ether over a bifunctional catalyst: CZA/FER KOREAN JOURNAL OF CHEMICAL ENGINEERING, 2023, v.40 no.11 , 2632-2645
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• [학술지논문] Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, v.117 no.0 , 105463-105463
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• [학술지논문] Optimal planning of hybrid energy storage systems using curtailed renewable energy through deep reinforcement learning ENERGY, 2023, v.284 no.1 , 128623-128623
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• [학술지논문] Techno-economic analysis and life-cycle assessment of the electrochemical conversion process with captured CO2 in an amine-based solvent GREEN CHEMISTRY, 2023, v.25 no.24 , 10398-10414
  SCIE
• [학술지논문] Adversarial Autoencoder Based Feature Learning for Fault Detection in Industrial Processes IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, v.18 no.2 , 827-834
  SCIE
• [학술지논문] CFD modeling for the prediction of molecular weight distribution in the LDPE autoclave reactor: Effects of non-ideal mixing CHEMICAL ENGINEERING JOURNAL, 2022, v.427 no.0 , 131829-131829
  SCI
• [학술지논문] Data-driven robust optimization for minimum nitrogen oxide emission under process uncertainty CHEMICAL ENGINEERING JOURNAL, 2022, v.428 no.0 , 130971-130971
  SCI
• [학술지논문] Deep Neural Network-based Optimization Framework for Safety Evacuation Route during Toxic Gas Leak Incidents RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, v.218 no.0 , 108102-108102
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• [학술지논문] Microenvironments of Cu catalysts in zero-gap membrane electrode assembly for efficient CO2 electrolysis to C2+ products JOURNAL OF MATERIALS CHEMISTRY A, 2022, v.10 no.19 , 10363-10372
  SCI
• [학술지논문] Origin of Hydrogen Incorporated into Ethylene during Electrochemical CO2 Reduction in Membrane Electrode Assembly ACS ENERGY LETTERS, 2022, v.7 no.3 , 939-945
  SCIE
• [학술지논문] Physics-informed deep learning for data-driven solutions of computational fluid dynamics KOREAN JOURNAL OF CHEMICAL ENGINEERING, 2022, v.39 no.3 , 515-528
  SCIE
• [학술지논문] Bayesian Optimization of Semicontinuous Carbonation Process Operation Recipe INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2021, v.60 no.27 , 9871-9884
  SCI
• [학술지논문] Bayesian optimization of industrial-scale toluene diisocyanate liquid-phase jet reactor with 3-D computational fluid dynamics model JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY, 2021, v.98 no.0 , 327-339
  SCIE
• [학술지논문] Clustered Manifold Approximation and Projection for Semisupervised Fault Diagnosis and Process Monitoring INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2021, v.60 no.26 , 9521-9531
  SCI
• [학술지논문] Design methodology for mass transfer-enhanced large-scale electrochemical reactor for CO2 reduction CHEMICAL ENGINEERING JOURNAL, 2021, v.424 no.0 , 130265-130265
  SCI
• [학술지논문] Efficient Bayesian inference using adversarial machine learning and low-complexity surrogate models COMPUTERS & CHEMICAL ENGINEERING, 2021, v.151 no.0 , 107322-107322
  SCI
• [학술지논문] Efficient Discovery of Active, Selective, and Stable Catalysts for Electrochemical H2O2 Synthesis through Active Motif Screening ACS CATALYSIS, 2021, v.11 no.5 , 2483-2491
  SCIE
• [학술지논문] Electrocatalytic Reduction of Low Concentrations of CO2 Gas in a Membrane Electrode Assembly Electrolyzer ACS ENERGY LETTERS, 2021, v.6 no.10 , 3488-3495
  SCIE
• [학술지논문] Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2021, v.61 no.12 , 5804-5814
  SCI
• [학술지논문] Learning the properties of a water-lean amine solvent from carbon capture pilot experiments APPLIED ENERGY, 2021, v.283 no.0 , 116213-116213
  SCI
• [학술지논문] Machine learning-based utilization of renewable power curtailments under uncertainty by planning of hydrogen systems and battery storages Journal of Energy Storage, 2021, v.41 no.1 , 103010-103010
  SCIE
• [학술지논문] Towards the Large-Scale Electrochemical Reduction of Carbon Dioxide CATALYSTS, 2021, v.11 no.2 , 253-253
  SCIE
• [학술지논문] Catalyst-electrolyte interface chemistry for electrochemical CO(2)reduction CHEMICAL SOCIETY REVIEWS, 2020, v.49 no.18 , 6632-6665
  SCI
• [학술지논문] Data-driven pilot optimization for electrochemical CO mass production JOURNAL OF MATERIALS CHEMISTRY A, 2020, v.8 no.33 , 16943-16950
  SCI
• [학술지논문] In silicodiscovery of active, stable, CO-tolerant and cost-effective electrocatalysts for hydrogen evolution and oxidation PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2020, v.22 no.35 , 19454-19458
  SCI
• [학술지논문] Mass Transport Control by Surface Graphene Oxide for Selective CO Production from Electrochemical CO2 Reduction ACS CATALYSIS, 2020, v.10 no.5 , 3222-3231
  SCIE
• [학술지논문] Toward the practical application of direct CO2 hydrogenation technology for methanol production INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2020, v.44 no.11 , 8781-8798
  SCIE

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