| 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 | 25 | 2023 |
| Innovative 3D printing of mechanoluminescent composites: Vat photopolymerization meets machine learning J Jo, K Park, H Song, H Lee, S Ryu Additive Manufacturing 90, 104324, 2024 | 2 | 2024 |
| Advancements and Challenges of Micromechanics-based Homogenization for the Short Fiber Reinforced Composites H Lee, S Lee, S Ryu Multiscale Science and Engineering 5 (3), 133-146, 2023 | 2 | 2023 |
| Data-driven prediction of strain fields in auxetic structures and non-contact validation with mechanoluminescence for structural health monitoring J Jo, M Park, S Kang, H Lee, CY Gu, TS Kim, S Ryu International Journal of AI for Materials and Design 1 (2), 48-60, 2024 | 1 | 2024 |
| Deep generative spatiotemporal learning for integrating fracture mechanics in composite materials: inverse design, discovery, and optimization D Park, J Lee, H Lee, GX Gu, S Ryu Materials Horizons 11 (13), 3048-3065, 2024 | 1 | 2024 |
| Mean-field homogenization of liquid metal elastomer composites: comparative study and exact dilute solution of core–shell inclusion H Lee, J Yeo, J Yu, H Moon, S Ryu Journal of Physics: Condensed Matter 36 (50), 505702, 2024 | | 2024 |
| Enhancing Injection Molding Optimization for SFRPs Through Multi‐Fidelity Data‐Driven Approaches Incorporating Prior Information in Limited Data Environments H Lee, M Lee, J Jung, I Lee, S Ryu Advanced Theory and Simulations 7 (8), 2400130, 2024 | | 2024 |
| Comparative Study of Multi‐objective Bayesian Optimization and NSGA‐III based Approaches for Injection Molding Process J Jung, K Park, H Lee, B Cho, S Ryu Advanced Theory and Simulations, 2400135, 2024 | | 2024 |
| (A) study on permeability prediction of fiber-reinforced composite materials based on the representative volume element H Lee 한국과학기술원, 2022 | | 2022 |
Seunghwa RyuProfessor of Mechanical Engineering at KAISTkaist.ac.kr의 이메일 확인됨