| 1 | Advanced electromechanical characteristics of metal nanoparticle - nanowire hybrid films on flexible substrate Kim, Sanghyeok; Lee, Jaemin; Lee, Jung-Yong; Kim, Kyungshik; Kim, Jae-Hyun; Park, Inkyu, MNE 2014, MNE 2014, 2014-09 |
| 2 | Deep generative spatiotemporal learning for integrating fracture mechanics in composite materials: inverse design, discovery, and optimization Park, Donggeun; Lee, Jaemin; Lee, Hugon; Gu, Grace X.; Ryu, Seunghwa, MATERIALS HORIZONS, v.11, no.13, pp.3048 - 3065, 2024-07 |
| 3 | Design of a prismatic pressure vessel: An engineering solution for non-stiffened-type vessels Lee, Jaemin; Choi, Youn Seok; Jo, Choonghee; Chang, Daejun, OCEAN ENGINEERING, v.142, pp.639 - 649, 2017-09 |
| 4 | Economic evaluation of pressurized LNG supply chain Lee, Sanghyuk; Seo, Youngkyun; Lee, Jaemin; Chang, Daejun, JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, v.33, pp.405 - 418, 2016-07 |
| 5 | Efficient welding distortion analysis method for large welded structures Lee, Jaemin; Seo, hyunduk; Chung, Hyun, JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, v.256, pp.36 - 50, 2018-06 |
| 6 | Efficient Welding of Silver Nanowire Networks without Post-Processing Lee, Jaemin; Lee, Inhwa; Kim, Taek-Soo; Lee, Jung-Yong, Small, v.9, no.17, pp.2887 - 2894, 2013-09 |
| 7 | Electromechanical Enhancement of Metal Nanoparticle Thin Film by Composite Formation with Short Metal Nanowires Kim, Sanghyeok; Lee, Jaemin; Park, Jaeho; Lee, Jung-Yong; Kim, Jae-Hyun; Park, Inkyu, Functional Composites and Structures, v.1, no.3, 2019-09 |
| 8 | Evaluating the predictive power of machine learning model for shear transformation in metallic glasses using metrics for an imbalanced dataset Lee, Jaemin; Ryu, Seunghwa, FRONTIERS IN MATERIALS, v.9, 2022-07 |
| 9 | Hierarchical Generative Network: A Hierarchical Multitask Learning Approach for Accelerated Composite Material Design and Discovery Park, Donggeun; Lee, Jaemin; Park, Kundo; Ryu, Seunghwa, ADVANCED ENGINEERING MATERIALS, v.25, no.21, 2023-11 |
| 10 | Machine learning-based analysis and prediction model on the strengthening mechanism of biopolymer-based soil treatment Lee, Haejin; Lee, Jaemin; Ryu, Seunghwa; Chang, Ilhan, GEOMECHANICS AND ENGINEERING, v.36, no.4, pp.381 - 390, 2024-02 |
| 11 | New methodology for estimating the minimum design vapor pressure of prismatic pressure vessel for on-ship application Lee, Jaemin; Jo, Choonghee; Chang, Daejun; Chung, Hyun, OCEAN ENGINEERING, v.158, pp.367 - 377, 2018-06 |
| 12 | Optimization of grid composite configuration to maximize toughness using integrated hierarchical deep neural network and genetic algorithm Lee, Jaemin; Park, Donggeun; Park, Kundo; Song, Hyunggwi; Kim, Taek-Soo; Ryu, Seunghwa, MATERIALS & DESIGN, v.238, 2024-02 |
| 13 | 머신러닝을 이용한 $Cu_{64}Zr_{36}$ 메탈릭 글래스의 국부적인 전단 변형 구간 예측 = Prediction of irreversible jumps in $Cu_{64}Zr_{36}$ metallic glass using machine learninglink 이재민; 유승화; et al, 한국과학기술원, 2020 |
| 14 | 증발부 가열방식이 수평 진동형 히트파이프의 열적 거동에 미치는 영향에 관한 실험적 연구 = Effect of heating pattern in evaporator section on thermal behavior of horizontal pulsating heat pipes : an experimental studylink 이재민; Lee, Jaemin; et al, 한국과학기술원, 2016 |
