| Catalyst–electrolyte interface chemistry for electrochemical CO 2 reduction YJ Sa, CW Lee, SY Lee, J Na, U Lee, YJ Hwang Chemical Society Reviews 49 (18), 6632-6665, 2020 | 345 | 2020 |
| General technoeconomic analysis for electrochemical coproduction coupling carbon dioxide reduction with organic oxidation J Na, B Seo, J Kim, CW Lee, H Lee, YJ Hwang, BK Min, DK Lee, HS Oh, ... Nature communications 10 (1), 5193, 2019 | 311 | 2019 |
| Electrocatalytic Reduction of Low Concentrations of CO2 Gas in a Membrane Electrode Assembly Electrolyzer D Kim, W Choi, HW Lee, SY Lee, Y Choi, DK Lee, W Kim, J Na, U Lee, ... ACS Energy Letters 6 (10), 3488-3495, 2021 | 113 | 2021 |
| Green hydrogen and sustainable development–A social LCA perspective highlighting social hotspots and geopolitical implications of the future hydrogen economy MS Akhtar, H Khan, JJ Liu, J Na Journal of Cleaner Production 395, 136438, 2023 | 102 | 2023 |
| Adversarial autoencoder based feature learning for fault detection in industrial processes K Jang, S Hong, M Kim, J Na, I Moon IEEE Transactions on Industrial Informatics 18 (2), 827-834, 2021 | 95 | 2021 |
| Multi-objective Bayesian optimization of chemical reactor design using computational fluid dynamics S Park, J Na, M Kim, JM Lee Computers & Chemical Engineering 119, 25-37, 2018 | 91 | 2018 |
| Risk-based underground pipeline safety management considering corrosion effect S Shin, G Lee, U Ahmed, Y Lee, J Na, C Han Journal of hazardous materials 342, 279-289, 2018 | 79 | 2018 |
| An experimental based optimization of a novel water lean amine solvent for post combustion CO2 capture process J Hwang, J Kim, HW Lee, J Na, BS Ahn, SD Lee, HS Kim, H Lee, U Lee Applied Energy 248, 174-184, 2019 | 75 | 2019 |
| Toxic gas release modeling for real-time analysis using variational autoencoder with convolutional neural networks J Na, K Jeon, WB Lee Chemical Engineering Science 181, 68-78, 2018 | 70 | 2018 |
| Mass Transport Control by Surface Graphene Oxide for Selective CO Production from Electrochemical CO2 Reduction DLT Nguyen, CW Lee, J Na, MC Kim, NDK Tu, SY Lee, YJ Sa, DH Won, ... ACS Catalysis 10 (5), 3222-3231, 2020 | 68 | 2020 |
| Machine learning-based utilization of renewable power curtailments under uncertainty by planning of hydrogen systems and battery storages MH Shams, H Niaz, J Na, A Anvari-Moghaddam, JJ Liu Journal of Energy Storage 41, 103010, 2021 | 66 | 2021 |
| A modified DIRECT algorithm for hidden constraints in an LNG process optimization J Na, Y Lim, C Han Energy 126, 488-500, 2017 | 65 | 2017 |
| Towards the large-scale electrochemical reduction of carbon dioxide S Park, DT Wijaya, J Na, CW Lee Catalysts 11 (2), 253, 2021 | 60 | 2021 |
| Generative chemical transformer: neural machine learning of molecular geometric structures from chemical language via attention H Kim, J Na, WB Lee Journal of chemical information and modeling 61 (12), 5804-5814, 2021 | 59 | 2021 |
| Deep neural network-based optimization framework for safety evacuation route during toxic gas leak incidents SK Seo, YG Yoon, J Lee, J Na, CJ Lee Reliability Engineering & System Safety 218, 108102, 2022 | 57 | 2022 |
| Efficient Discovery of Active, Selective, and Stable Catalysts for Electrochemical H2O2 Synthesis through Active Motif Screening S Back, J Na, ZW Ulissi ACS Catalysis 11 (5), 2483-2491, 2021 | 57 | 2021 |
| Multi-objective optimization of microchannel reactor for Fischer-Tropsch synthesis using computational fluid dynamics and genetic algorithm J Na, KS Kshetrimayum, U Lee, C Han Chemical Engineering Journal 313, 1521-1534, 2017 | 57 | 2017 |
| Origin of Hydrogen Incorporated into Ethylene during Electrochemical CO2 Reduction in Membrane Electrode Assembly W Choi, S Park, W Jung, DH Won, J Na, YJ Hwang ACS Energy Letters 7 (3), 939-945, 2022 | 53 | 2022 |
| Design methodology for mass transfer-enhanced large-scale electrochemical reactor for CO2 reduction B Jung, S Park, C Lim, WH Lee, Y Lim, J Na, CJ Lee, HS Oh, U Lee Chemical Engineering Journal 424, 130265, 2021 | 40 | 2021 |
| Physics-informed deep learning for data-driven solutions of computational fluid dynamics S Choi, I Jung, H Kim, J Na, JM Lee Korean Journal of Chemical Engineering 39 (3), 515-528, 2022 | 37 | 2022 |
Ung LeeKorea Institute of Science and TechnologyBestätigte E-Mail-Adresse bei kist.re.kr