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Results 1-10 of 10 (Search time: 0.005 seconds).
| NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
|---|---|
| Coupled health monitoring system for CNT-doped self -sensing composites Park, Kundo; Scaccabarozzi, Diego; Sbarufatti, Claudio; Jimenez-Suarez, Aberto; Urena, Alejandro; Ryu, Seunghwa; Libonati, Flavia, CARBON, v.166, pp.193 - 204, 2020-09 | |
Deep learning framework for material design space exploration using active transfer learning and data augmentation Kim, Yongtae; Kim, Youngsoo; Yang, Charles; Park, Kundo; Gu, Grace X.; Ryu, Seunghwa, NPJ COMPUTATIONAL MATERIALS, v.7, no.1, 2021-09 | |
| Damage detection of composite materials via IR thermography and electrical resistance measurement: A review Park, Kundo; Lee, Junhyeong; Ryu, Seunghwa, STRUCTURAL ENGINEERING AND MECHANICS, v.80, no.5, pp.563 - 583, 2021-12 | |
| Isotropic 3D printing using material extrusion of thin shell and post-casting of reinforcement core Son, Jihyuck; Yun, Seounghee; Park, Kundo; Ryu, Seunghwa; Kim, Sanha, ADDITIVE MANUFACTURING, v.58, 2022-10 | |
| Designing staggered platelet composite structure with Gaussian process regression based Bayesian optimization Park, Kundo; Kim, Youngsoo; Kim, Minki; Song, Chihyeon; Park, Jinkyoo; Ryu, Seunghwa, COMPOSITES SCIENCE AND TECHNOLOGY, v.220, 2022-03 | |
| Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks Jung, Jiyoung; Park, Kundo; Cho, Byungjin; Park, Jinkyoo; Ryu, Seunghwa, JOURNAL OF INTELLIGENT MANUFACTURING, v.34, no.8, pp.3623 - 3636, 2023-12 | |
| Designing directional adhesive pillars using deep learning-based optimization, 3D printing, and testing Kim, Yongtae; Yeo, Jinwook; Park, Kundo; Destree, Aymeric; Qin, Zhao; Ryu, Seunghwa, MECHANICS OF MATERIALS, v.185, 2023-10 | |
| Multi-objective Bayesian optimization for the design of nacre-inspired composites: optimizing and understanding biomimetics through AI Park, Kundo; Song, Chihyeon; Park, Jinkyoo; Ryu, Seunghwa, MATERIALS HORIZONS, v.10, no.10, pp.4329 - 4343, 2023-10 | |
| Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a review Lee, Junhyeong; Park, Donggeun; Lee, Mingyu; Lee, Hugon; Park, Kundo; Lee, Ikjin; Ryu, Seunghwa, MATERIALS HORIZONS, v.10, no.12, pp.5436 - 5456, 2023-12 | |
| 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 |
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