| Design analysis of DC electromagnetic pump for liquid sodium–CO2 reaction experimental characterization GH Lee, HR Kim Annals of Nuclear Energy 109, 490-497, 2017 | 17 | 2017 |
| Numerical analysis of the electromagnetic force for design optimization of a rectangular direct current electromagnetic pump GH Lee, HR Kim Nuclear Engineering and Technology 50 (6), 869-876, 2018 | 14 | 2018 |
| Mathematical approach for optimization of magnetohydrodynamic circulation system GH Lee, HR Kim Nuclear Engineering and Technology 51 (3), 654-664, 2019 | 10 | 2019 |
| NUMERICAL INVESTIGATION AND COMPARISON OF THE RECTANGULAR, CYLINDRICAL, AND HELICAL-TYPE DC ELECTROMAGNETIC PUMPS. GH Lee, HR Kim Magnetohydrodynamics (0024-998X) 53 (2), 2017 | 10 | 2017 |
| Magnetohydrodynamics approach for active decay heat removal system in future generation IV reactor GH Lee, HR Kim International Journal of Energy Research 42 (10), 3266-3278, 2018 | 4 | 2018 |
| The variable analysis of an MHD generator with electrical output of 10 kW for application to bi‐plant method electricity generation GH Lee, HR Kim International Journal of Energy Research 44 (10), 8125-8132, 2020 | 3 | 2020 |
| The optimum design analysis of the small DC electromagnetic pump with loop-supported type GH Lee, HR Kim Pyeongchang, Korea, October, 30-31, 2014 | 3 | 2014 |
| Dual-fluid topology optimization of printed-circuit heat exchanger with low-pumping-power design G Lee, Y Joo, Y Yu, HG Kim Case Studies in Thermal Engineering 49, 103318, 2023 | 2 | 2023 |
| Magnetic-field analysis of an MHD channel in a liquid-metal circulation system of a prototype GenIV sodium fast reactor GH Lee, HR Kim Annals of Nuclear Energy 115, 343-351, 2018 | 2 | 2018 |
| The Analysis of Topology Optimized 3D Printing Heat Exchanger for the Small Nuclear Reactor G Lee, Y Joo, H Kim, Y Yu KNS Autumn meeting, 2021 | 1 | 2021 |
| Numerical study of Faraday-type nitrogen plasma magnetohydrodynamic generator GH Lee, HR Kim Journal of the Korean Physical Society 78, 600-606, 2021 | 1 | 2021 |
| Application of Deep Learning Reinforcement Learning for Enhancement of Thermal Fluid Topology Optimization Performance G Lee, Y Yu, HG Kim, T Kim 3th Applied Artificial Intelligence Conference, 2023 | | 2023 |
| Design of the Optimal Nuclear Heat Exchanger using Deep Reinforcement Learning G Lee, Y Yu, HG Kim 10th Korea-China Workshop on Nuclear Reactor Thermal-Hydraulics (WORTH-10), 2023 | | 2023 |
| Experimental characterization of the flowline of a lithium film formed using an electromagnetic thruster for a RAON prototype charge stripper TU Kang, G Lee, HR Kim Nuclear Engineering and Design 412, 112481, 2023 | | 2023 |
| Machine Learning-based Anomaly Detection in Drift Tube Quadrupole Operation for the KOMAC Linac DH Kim, G Lee, SY Cho, SH Lee, D Kim, HS Kim, HJ Kwon, Y Yu The 25th International Conference on Accelerators and Beam Utilizations, 2023 | | 2023 |
| Application of Deep Learning Reinforcement Learning for Enhancement of Thermal Fluid Topology Optimization Performance G Lee, Y Yu, HG Kim, T Kim 2023 3rd Applied Artificial Intelligence Conference, 2023 | | 2023 |
| Optimal design of nuclear power plant heat exchanger using 3D printing-based deep learning reinforcement learning G Lee, Y Yu, HG Kim 2023 Korean Institute of Metals and Materials Fall Meeting, 2023 | | 2023 |
| Formation of the LCD susceptor heat exchanger path using the deep reinforcement learning G Lee, T Kim 2023 2nd Applied Artificial Intelligence Conference, 2023 | | 2023 |
| Development of a predictive model for the operation mode of the secondary cooling system of the HANARO research reactor S Kim, G Lee, M Lee, Y Yu Korea Society of Inductrial Information Systems 2022 Spring Meeting, 2022 | | 2022 |
| Development of small nuclear reactor main part, 3D printing AI-based optimization design technology G Lee, Y Yu, HG Kim 2022 Korean Institute of Metals and Materials Spring Meeting, 2022 | | 2022 |
Yonggyun YuPrincipal Rearcher, AI Lab, Korea Atomic Energy Research Institutekaeri.re.kr의 이메일 확인됨
