| Deep learning framework for material design space exploration using active transfer learning and data augmentation Y Kim, Y Kim, C Yang, K Park, GX Gu, S Ryu npj Computational Materials 7 (1), 140, 2021 | 96 | 2021 |
| Designing staggered platelet composite structure with Gaussian process regression based Bayesian optimization K Park, Y Kim, M Kim, C Song, J Park, S Ryu Composites Science and Technology 220, 109254, 2022 | 15 | 2022 |
| Coupled health monitoring system for CNT-doped self-sensing composites K Park, D Scaccabarozzi, C Sbarufatti, A Jimenez-Suarez, A Ureña, S Ryu, ... Carbon 166, 193-204, 2020 | 15 | 2020 |
| Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks J Jung, K Park, B Cho, J Park, S Ryu Journal of Intelligent Manufacturing 34 (8), 3623-3636, 2023 | 9 | 2023 |
| Deep learning framework for material design space exploration using active transfer learning and data augmentation. npj Computational Materials 7 (1): 140 Y Kim, Y Kim, C Yang, K Park, GX Gu, S Ryu DOI: https://doi. org/10.1038/s41524-021-00609-2, https://www. nature. com …, 2021 | 8 | 2021 |
| Isotropic 3D printing using material extrusion of thin shell and post-casting of reinforcement core J Son, S Yun, K Park, S Ryu, S Kim Additive Manufacturing 58, 102974, 2022 | 6 | 2022 |
| Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a review J Lee, D Park, M Lee, H Lee, K Park, I Lee, S Ryu Materials Horizons, 2023 | 5 | 2023 |
| Multi-objective Bayesian optimization for the design of nacre-inspired composites: optimizing and understanding biomimetics through AI K Park, C Song, J Park, S Ryu Materials Horizons 10 (10), 4329-4343, 2023 | 3 | 2023 |
| Designing directional adhesive pillars using deep learning-based optimization, 3D printing, and testing Y Kim, J Yeo, K Park, A Destrée, Z Qin, S Ryu Mechanics of Materials 185, 104778, 2023 | 1 | 2023 |
| Hierarchical Generative Network: A Hierarchical Multitask Learning Approach for Accelerated Composite Material Design and Discovery D Park, J Lee, K Park, S Ryu Advanced Engineering Materials 25 (21), 2300867, 2023 | | 2023 |
| Damage detection of composite materials via IR thermography and electrical resistance measurement: A review K Park, J Lee, S Ryu Structural Engineering and Mechanics, An Int'l Journal 80 (5), 563-583, 2021 | | 2021 |
| Designing staggered platelet composite with GPR based Bayesian optimization K Park, Y Kim, S Ryu 대한기계학회 춘추학술대회, 282-283, 2021 | | 2021 |
| Designing staggered platelet composite structure with Gaussian process regression based Bayesian optimization K Park, Y Kim, M Kim, C Song, J Park, S Ryu Engineering Archive, 2021 | | 2021 |
| Damage assessment of CNT-doped composites through IR-thermography and electrical resistance measurement K Park, S Ryu, F Libonati Engineering Archive, 2019 | | 2019 |
| Electrode Placement Optimization for Electrical Impedance Tomography using Active Learning J Lee, K Park, K Park, Y Kim, J Kim, S Ryu Advanced Engineering Materials, 0 | | |
Seunghwa RyuProfessor of Mechanical Engineering at KAIST在 kaist.ac.kr 的电子邮件经过验证
Seunghwa RyuProfessor of Mechanical Engineering at KAIST在 kaist.ac.kr 的电子邮件经过验证