| 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 | 129 | 2021 |
| 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 | 35 | 2023 |
| 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 | 25 | 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 | 21 | 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 | 20 | 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 | 17 | 2023 |
| 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 | 9 | 2022 |
| Optimization of grid composite configuration to maximize toughness using integrated hierarchical deep neural network and genetic algorithm J Lee, D Park, K Park, H Song, TS Kim, S Ryu Materials & Design 238, 112700, 2024 | 7 | 2024 |
| 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 | 3 | 2023 |
| Multi‐Objective Bayesian Optimization for Laminate‐Inspired Mechanically Reinforced Piezoelectric Self‐Powered Sensing Yarns Z Yang, K Park, J Nam, J Cho, YJ Choi, YI Kim, H Kim, S Ryu, M Kim Advanced Science 11 (33), 2402440, 2024 | 2 | 2024 |
| 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 |
| 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 | 2 | 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 | 1 | 2021 |
| Towards the Automation of Plate Forming Process for Shipbuilding: A Dnn-Based Multi-Start Convex Optimization Framework for the Prompt Inverse Design of Line Heating Patterns H Moon, K Park, J Lee, D Lee, S Ryu Available at SSRN 4830073, 0 | 1 | |
| 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, 2301865, 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 |
| 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 |
| Innovative 3d Printing of Mechanoluminescent Composites: Vat Photopolymerization Using Digital Light Processing (Dlp) with Machine Learning Optimization J Jo, K Park, H Song, S Ryu Available at SSRN 4854045, 0 | | |
Seunghwa RyuProfessor of Mechanical Engineering at KAISTVerified email at kaist.ac.kr