| Deep learning for determining a near-optimal topological design without any iteration Y Yu, T Hur, J Jung, IG Jang Structural and Multidisciplinary Optimization 59 (3), 787-799, 2019 | 316 | 2019 |
| Deep learned finite elements J Jung, K Yoon, PS Lee Computer Methods in Applied Mechanics and Engineering 372, 113401, 2020 | 51 | 2020 |
| Deep learning for topology optimization design Y Yu, T Hur, J Jung arXiv preprint arXiv:1801.05463, 2018 | 20 | 2018 |
| Self-updated four-node finite element using deep learning J Jung, H Jun, PS Lee Computational Mechanics 69 (1), 23-44, 2022 | 17 | 2022 |
| A delay line circuit design for crosstalk minimization using genetic algorithm C Chung, S Lee, BM Kwak, G Kim, J Kim IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2008 | 7 | 2008 |
| A posteriori error estimation via mode-based finite element formulation using deep learning J Jung, S Park, C Lee STRUCTURAL ENGINEERING AND MECHANICS 83 (2), 273-282, 2022 | 1 | 2022 |
| Topology Optimization of Thermal Insulators considering Thermal–Structural Multi-Objective Function Y Joo, J Jung, M Yoon Engineering Optimization 55 (11), 1861-1885, 2023 | | 2023 |
| Hydraulic performance and flow resistance tests of various hydraulic parts for optimal design of a reactor coolant pump for a small modular reactor B Bae, J Jung, JY Yu Nuclear Engineering and Technology 55 (3), 1181-1190, 2023 | | 2023 |
| Homologous curve generation for reactor coolant pump of small modular reactor by testing and CFD analysis J Jung, B Bae, JY Yu Nuclear Engineering and Design 400, 112049, 2022 | | 2022 |
| 딥러닝을 이용한 2D 사각 유한 요소의 오차 추정 정재호， 박승환 대한기계학회 춘추학술대회, 136-136, 2022 | | 2022 |
| The potential of deep learning in the finite element method PS Lee, S Park, J Jung The Fourteenth International Conference on Computational Structures Technology, 2022 | | 2022 |
| Deep Learning based Estimation of Depth to Bearing Layer from In-situ Data YE Jang, J Jung, JT Han, Y Yu Journal of the Korean Geotechnical Society 38 (3), 35-42, 2022 | | 2022 |
| 딥러닝을 이용한 변위 적응형 유한요소 개발 정재호， 전형민， 이필승 2021 한국전산구조공학회 정기학술대회, 2021 | | 2021 |
| On the application of deep learning in the finite element method PS Lee, S Park, J Jung The 2021 International Conference on Innovative Structural Engineering and …, 2021 | | 2021 |
| 딥러닝을 이용한 유한요소의 강성행렬 생성 정재호， 윤경호， 이필승 2020 한국전산구조공학회 정기학술대회, 2020 | | 2020 |
| 인공지능을 이용한 최적설계기술 소개 유용균， 허태일， 정재호， 장인권 한국항공우주학회 학술발표회 초록집, 341-342, 2018 | | 2018 |
| 딥러닝의 생성 모델링 기술과 위상최적설계의 융합에 대한 기초 연구 유용균， 허태일， 정재호 대한기계학회 춘추학술대회, 1708-1712, 2017 | | 2017 |
| Motion simulation of hydraulic driven safety rod using FSI method J Jung, S Kim, YS Yoo, YG Cho, JI Kim Pro-ceedings of Transactions of the Korean Nuclear Society Spring Meeting …, 2013 | | 2013 |
| A Delay Line Circuit Layout For Crosstalk Minimization Using Genetic Algorithm and Experimental Verification J Kim, C Chung, S Lee, B Kwak, G Kim World Congress on Structural and Multidisciplinary Optimization, 2007 | | 2007 |
| A Delay Line Circuit Design For Crosstalk Minimization Using Genetic Algorithm J Kim, C Chung, S Lee, B Kwak, G Kim China-Japan-Korea Joint Symposium on Optimization of Structural and …, 2006 | | 2006 |
Yonggyun YuPrincipal Rearcher, AI Lab, Korea Atomic Energy Research InstituteVerified email at kaeri.re.kr
