†Equally contributed, ^*Corresponding authorㅇ

2023

1. Akhtar, M. S., Khan, H., Liu, J. J.*, & Na, J. (2023). Green hydrogen and sustainable development–A social LCA perspective highlighting social hotspots and geopolitical implications of the future hydrogen economy. Journal of Cleaner Production, 395, 136438. [Link]
2. Jang, K., Hong, S., Kim, M., Moon, I.*, Na, J.* (2023) . Explainable Fault Detection using Adversarial Autoencoder and SHAP value. IEEE Transactions on Industrial Informatics, Early Access. [Link]
3. Cho, S.†, Kim, M.†, Lee, J., Han, A., Na, J.*, & Moon I.* (2023). Multi-objective Optimization of Explosive Waste Treatment Process Considering Environment and Process Cost via Bayesian Active Learning. Engineering Applications of Artificial Intelligence, 117, 105463. [Link]
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   2022

4. Choi, W.†, Choi, Y.†, Choi, E., Yun, H., Jung, W., Lee, W. H., Oh, H.-S., Won, D.H., Na, J.*, & Hwang, Y. J.* (2022). Microenvironments of Cu catalysts in zero-gap membrane electrode assembly for efficient CO2 electrolysis to C2+ products. Journal of Materials Chemistry A, 10, 10363. [Link]
   [Highlights on Front Cover Article]
5. Choi, W.†, Park, S.†, Jung, W.†, Won, D. H., Na, J.*, & Hwang, Y. J.* (2022). Origin of Hydrogen Incorporated into Ethylene during Electrochemical CO2 Reduction in Membrane Electrode Assembly. ACS Energy Letters, 7, 939-945. [Link]
   [Highlights on Front Cover Article]
6. Seo, S. K., Yoon, Y. G., Lee, J. S., Na, J.*, & Lee, C. J.* (2022). Deep Neural Network-based Optimization Framework for Safety Evacuation Route during Toxic Gas Leak Incidents. Reliability Engineering & System Safety, 218, 108102. [Link]
7. Choi, S., Jung, I., Kim, H., Na, J.*, & Lee, J. M.* (2022). Physics-informed deep learning for data-driven solutions of computational fluid dynamics. Korean Journal of Chemical Engineering, 39, 515-528. [Link]
8. Kim, M., Cho, S., Jang, K., Hong, S., Na, J.*, Moon, I.*, Data-driven Robust Optimization for Minimum Nitrogen Oxide Emission Under Process Uncertainty. Chemical Engineering Journal. 2022, 428, 130971. [Link]
9. Shin, S., Choi, S., Na, J., Jung, I., Kim, M.-K, Park, M.-Y.*, Lee, W.B.*, CFD modeling for the prediction of molecular weight distribution in the LDPE autoclave reactor: Effects of non-ideal mixing. Chemical Engineering Journal. 2022, 427, 131829. [Link]
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   2021

10. Kim, H., Na, J.*, & Lee, W. B.* (2021). Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention. Journal of Chemical Information and Modeling, 61(12), 5804-5814. [Link]
    [Highlights on Back Cover Article]
11. Jung, B.†, Park, S.†, Lim, C., Lee, W.H., Lim, Y., Na, J., Lee, C.-J., Oh, H.-S.*, Lee, U.*, Design methodology for mass transfer-enhanced large-scale electrochemical reactor for CO2 Chemical Engineering Journal, 2021, 424, 130265. [Link]
12. Kim, D., Choi, W., Lee, H.W., Lee, S.Y., Choi, Y., Lee, D.K., Kim, W., Na, J., Lee, U.*, Hwang, Y.J.*, Won, D.H.*, Electrocatalytic Reduction of Low Concentrations of CO₂ Gas in a Membrane Electrode Assembly Electrolyzer. ACS Energy Letters. 2021, 6(10), 3488-3495. [Link]
13. Shams, M.H., Niaz, H., Na, J., Anvari-Moghaddam, A.*, Liu J., Machine learning-based utilization of renewable power curtailments under uncertainty by planning of hydrogen systems and battery storages. Journal of Energy Storage. 2021, 41, 103010. [Link]
14. Na, J., Bak, J.H., Sahinidis, N.*, Efficient Bayesian inference using adversarial machine learning and low-complexity surrogate models. Computers & Chemical Engineering, 2021, 151, 107322. [Link]
15. Lee, D., Na, J., Park, D., Lee, J.M.*, Bayesian Optimization of Semicontinuous Carbonation Process Operation Recipe. Industrial & Engineering Chemistry Research. 2021, 60(27), 9871-9884. [Link]
16. Park, D., Na, J., Lee, J.M.*, Clustered Manifold Approximation and Projection for Semisupervised Fault Diagnosis and Process Monitoring. Industrial & Engineering Chemistry Research. 2021, 60(26), 9521-9531. [Link]
17. Park, S., Atwair, M., Kim, K., Lee, U., Na, J., Zahid, U.*, Lee, C.-J.*, 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, 98, 327-339. [Link]
18. Jang, K., Hong, S., Kim, M., Na, J.*, & Moon, I.* (2021). Adversarial Autoencoder Based Feature Learning for Fault Detection in Industrial Processes. IEEE Transactions on Industrial Informatics, 18(2), 827-834. [Link]
19. Back, S.†, Na, J.†, & Ulissi, Z.*, Efficient Discovery of Active, Selective, and Stable Catalysts for Electrochemical H₂O₂ Synthesis through Active Motif Screening. ACS Catalysis, 2021, 11(5), 2483-2491. [Link]
20. Park, S.†, Wijaya, D. T.†, Na, J.*, & Lee, C. W.* Towards the Large-Scale Electrochemical Reduction of Carbon Dioxide. Catalysts, 2021, 11(2). [Link]
21. Kim, J.†, Na, J.†, Kim, K., Bak, J.H., Lee, H., & Lee, U.* Learning the properties of a water-lean amine solvent from carbon capture pilot experiments. Applied Energy, 2021, 283, 116213. [Link]
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    2020

22. Back, S.†, Na, J.†, Tran, K. & Ulissi, Z. W. In silico discovery of active, stable, CO-tolerant and cost-effective electrocatalysts for hydrogen evolution and oxidation. Physical Chemistry Chemical Physics 22, 19454-19458, (2020). [Link]
23. Sa, Y. J., Lee, C. W., Lee, S. Y., Na, J., Lee, U.*, & Hwang, Y. J.* Catalyst–electrolyte interface chemistry for electrochemical CO2 reduction. Chemical Society Reviews. 2020, 49, 6632-6665. [Link]
24. Kim, K., Lee, W. H., Na, J., Hwang, Y. J., Oh, H.-S., & Lee, U.*, Data driven pilot optimization for electrochemical CO mass production. Journal of Materials Chemistry A. 2020, 44: 8781– 8798. [Link]
25. Lee, H. W., Kim, K., An, J., Na, J., Kim, H., Lee, U.* Toward the practical application of direct CO₂ hydrogenation technology for methanol production. International Journal of Energy Research. 2020, 1– 18. [Link]
26. Nguyen, D. L. T.†, Lee, C. W.†, Na, J.†, Kim, M.-C. Tu, N. D. K., Lee, S. Y., Sa, Y. J., Won, D. H., Oh, H.-S., Kim, H., Han, S. S., Min, B. K., Lee, U.^*, Hwang, Y. J.^*, Mass transport control by surface graphene oxide for selective CO production from electrochemical CO₂ reduction. ACS Catalysis. 2020, 10 (5), 3222-3231. [Link]
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    -2020 (At CMU, KIST, SNU)

27. Na, J., Seo, B., Kim, J., Lee, C. W., Lee, H., Hwang, Y. J., Min, B. K., Lee, D. K., Oh, H.-S.^*, Lee, U^*, General technoeconomic analysis for electrochemical coproduction coupling carbon dioxide reduction with organic oxidation. Nature Communications. 2019, 10, 5193. [Link]
    [Editor’s Highlights in Nature Communications]
    Also appeared in Nature Research Device and Materials Engineering Community, 2019 [Link]
28. Lee, Y., Jeon, K., Cho, J., Na, J, Park J., Jung, I., Park, J., Park, M.J., Lee, W.B.^*, Multicompartment Model of an Ethylene–Vinyl Acetate Autoclave Reactor: A Combined Computational Fluid Dynamics and Polymerization Kinetics Model. Industrial & Engineering Chemistry Research. 2019, 58, 16459-1641.
29. Hwang, J., Kim, J., Lee, H. W., Na, J., Ahn, B. S., Lee, S. D., Kim, H.S., Lee, H., Lee, U. ^*, An experimental based optimization of a novel water lean amine solvent for post combustion CO2 capture process. Applied Energy. 2019, 248, 174-184.
30. Na, J.†, Park, S.†, Bak, J. H., Lee, D., Yoo, Y., Kim, I., Park, J., Lee, U., Lee, J.M.^*, Bayesian Parameter Estimation of Aqueous Mineral Carbonation Kinetics. Industrial & Engineering Chemistry Research. 2019, 58(19), 8246-8259.
31. Jeon, K., Yang, S., Kang, D., Na, J., Lee, W.B.^*, Development of surrogate model using CFD and deep neural networks to optimize gas detector layout. Korean Journal of Chemical Engineering. 2019, 36(3), 325-332.
32. Lee, Y.†, Na, J.†, Lee, W.B.^*, Robust design of ambient-air vaporaizer based on time-series clustering. Computers & Chemical Engineering. 2018, 118, 236-247
33. Park, S., Na, J., Kim, M., Lee, J.M.^*, Multi-objective Bayesian optimization of chemical reactor design using computational fluid dynamics. Computers & Chemical Engineering. 2018, 119, 25-37.
34. Lee, W.-J.†, Na, J.†, Kim, K., Lee, C., Lee, Y., Lee, J.M.^*, NARX Modeling for Real-Time Optimization of Air and Gas Compression Systems in Chemical Processes. Computers & Chemical Engineering. 2018, 115, 262-274.
35. Na, J.†, Kshetrimayum, K. S.†, Jung, I., Park, S., Lee, Y., Kwon, O., Mo, Y., Chung, J., Yi, J., Lee, U., Han, C.^*, Pilot Scale Compact Gas-to-Liquid Process: Design and Operation of Microchannel Reactor for Fischer-Tropsch Synthesis. Chemical Engineering and Processing: Process Intensification. 2018, 128, 63-76.
36. Na, J.†, Jeon, K.†, Lee, W.-B.^*, Toxic gas release modeling for real-time analysis using variational autoencoder with convolutional neural networks. Chemical Engineering Science, 2018. 181, 68-78.
37. Kim, M., Na, J., Park, S., Park, J.-H., Han, C.^*, Modeling and validation of a pilot-scale aqueous mineral carbonation reactor for carbon capture using computational fluid dynamics. Chemical Engineering Science, 2018, 177, 301-312.
38. An, J.†, Na, J.†, Lee, U.^*, Han, C.^*, Design of carbon dioxide dehydration process using derivative-free superstructure optimization. Chemical Engineering Research and Design 2018, 129, 344-355.
39. Shin, S., Lee, G., Ahmed, U., Lee, Y., Na, J., Han, C.^*, Risk-based underground pipeline safety management considering corrosion effect. Journal of Hazardous Materials 2018, 342 (Supplement C), 279-289.
40. Kshetrimayum, K., Na, J., Park, S., Jung, I., Lee, Y., Han, C., Intensified Low-Temperature Fischer-Tropsch Synthesis Using Microchannel Reactor Block: A Computational Fluid Dynamics Simulation Study. Journal of the Korean Institute of Gas 2017, 21 (4), 92-102.
41. Na, J., Lim, Y., Han, C.^*, A modified DIRECT algorithm for hidden constraints in an LNG process optimization. Energy 2017, 126, 488-500.
42. Na, J., Kshetrimayum, K. S., Lee, U.^*, Han, C.^*, Multi-objective optimization of microchannel reactor for Fischer-Tropsch synthesis using computational fluid dynamics and genetic algorithm. Chemical Engineering Journal 2017, 313, 1521-1534.
43. Jung, I., Na, J., Park, S., Jeon, J., Mo, Y.-G., Yi, J.-Y., Chung, J.-T., Han, C.^*, Optimal design of a large scale Fischer-Tropsch microchannel reactor module using a cell-coupling method. Fuel Processing Technology 2017, 159, 448-459.
44. Park, S., Na, J., Kim, M., An, J., Lee, C., Han, C., CO2 Mineral Carbonation Reactor Analysis using Computational Fluid Dynamics: Internal Reactor Design Study for the Efficient Mixing of Solid Reactants in the Solution. Korean Chemical Engineering Research 2016, 54 (5), 612-620.
45. Shin, S., Lee, Y., Song, K., Na, J., Park, S., Lee, Y., Lee, C.-J., Han, C.^*, Design and economic analysis of natural gas hydrate regasification process combined with LNG receiving terminal. Chemical Engineering Research and Design 2016, 112, 64-77.
46. Park, S., Jung, I., Lee, Y., Kshetrimayum, K. S., Na, J., Park, S., Shin, S., Ha, D., Lee, Y., Chung, J., Lee, C.-J.^*, Han, C.^*, Design of microchannel Fischer–Tropsch reactor using cell-coupling method: Effect of flow configurations and distribution. Chemical Engineering Science 2016, 143, 63-75.
47. Kshetrimayum, K. S., Jung, I., Na, J., Park, S., Lee, Y., Park, S., Lee, C.-J.^*, Han, C.^*, CFD Simulation of Microchannel Reactor Block for Fischer–Tropsch Synthesis: Effect of Coolant Type and Wall Boiling Condition on Reactor Temperature. Industrial & Engineering Chemistry Research 2016, 55 (3), 543-554.
48. Jung, I., Kshetrimayum, K. S., Park, S., Na, J., Lee, Y., An, J., Park, S., Lee, C.-J.^*, Han, C.^*, Computational Fluid Dynamics Based Optimal Design of Guiding Channel Geometry in U-Type Coolant Layer Manifold of Large-Scale Microchannel Fischer–Tropsch Reactor. Industrial & Engineering Chemistry Research 2016, 55 (2), 505-515.
49. Lee, Y., Jung, I., Na, J., Park, S., Kshetrimayum, K. S., Han, C., Analysis on Thermal Effects of Process Channel Geometry for Microchannel Fischer-Tropsch Reactor Using Computational Fluid Dynamics. Korean Chemical Engineering Research 2015, 53 (6), 818-823.
50. Park, S., Jung, I., Lee, U., Na, J., Kshetrimayum, K. S., Lee, Y., Lee, C.-J.^*, Han, C.^*, Design and modeling of large-scale cross-current multichannel Fischer–Tropsch reactor using channel decomposition and cell-coupling method. Chemical Engineering Science 2015, 134, 448-456.
51. Na, J., Jung, J., Park, C., Han, C.^*, Simultaneous synthesis of a heat exchanger network with multiple utilities using utility substages. Computers & Chemical Engineering 2015, 79, 70-79.
52. Na, J., Jung, I., Kshetrimayum, K. S., Park, S., Park, C., Han, C., Computational Fluid Dynamics Study of Channel Geometric Effect for Fischer-Tropsch Microchannel Reactor. Korean Chemical Engineering Research 2014, 52 (6), 826-833.
53. Park, C., Jung, I., Park, S., Na, J., Kshetrimayum, K., Han, C., Lee, J. Y., Jung, J., Modeling of Liquid Hold-up in Fixed-bed Reactor for Fischer-Tropsch Synthesis. Journal of the Korean Institute of Gas 2014, 18 (4), 63-67.
54. Park, S., Park, C., Lee, U., Jung, I., Na, J., Kshetrimayum, K. S., Han, C.^*, Comparative Study of Process Integration and Retrofit Design of a Liquefied Natural Gas (LNG) Regasification Process Based on Exergy Analyses: A Case Study of an LNG Regasification Process in Republic of Korea. Industrial & Engineering Chemistry Research 2014, 53 (37), 14366-14376.
55. Jung, I., Park, C., Park, S., Na, J., Han, C.^*, A Comparative Study of Various Fuel for Newly Optimized Onboard Fuel Processor System under the Simple Heat Exchanger Network. Korean Chemical Engineering Research 2014, 52 (6), 720-726.
56. Jung, J., Song, K., Park, S., Na, J., Han, C.^*, Optimal operation strategy of batch vacuum distillation for sulfuric acid recycling process. Computers & Chemical Engineering 2014, 71, 104-115.

1. Na, J., Lee, U. Research trends of process optimization using machine learning and its applications. NICE (News & Information for Chemical Engineers) 2018, 1, 4-8.
2. Lee, Y., Na, J., Lee, W.-B. Optimal Design of an Ambient Air Vaporizer using Numerical Model and DIRECT Algorithm. Computer Aided Chemical Engineering 2018, 44 (eds Mario R. Eden, Marianthi G. Ierapetritou, & Gavin P. Towler), 1795-1800.
3. Na, J., Jung, J., Park, C., Han, C., Simultaneous Optimization Models for Heat Exchanger Network Synthesis with Multiple Utilities: A New Strategy by Using Utility Sub-stage. Computer Aided Chemical Engineering 2015, 33 (eds Jiří Jaromír Klemeš, Petar Sabev Varbanov, & Peng Yen Liew), 1675-1680.
4. Kshetrimayum, K. S., Park, S., Jung, I., Na, J., Han, C. Simulation Study of Heat Transfer Enhancement due to Wall Boiling Condition in a Microchannel Reactor Block for Fischer-Tropsch Synthesis. Computer Aided Chemical Engineering 2015, 37 (eds Krist V. Gernaey, Jakob K. Huusom, & Rafiqul Gani), 1355-1360.