| Deepjeb: 3d deep learning-based synthetic jet engine bracket dataset S Hong, Y Kwon, D Shin, J Park, N Kang Journal of Mechanical Design 147 (4), 041703, 2025 | 24 | 2025 |
| Physics-constrained graph neural networks for spatio-temporal prediction of drop impact on oled display panels J Kim, J Park, N Kim, Y Yu, K Chang, CS Woo, S Yang, N Kang Expert Systems with Applications 274, 126907, 2025 | 10 | 2025 |
| BMO-GNN: Bayesian mesh optimization for graph neural networks to enhance engineering performance prediction J Park, N Kang Journal of Computational Design and Engineering 11 (6), 260-271, 2024 | 10 | 2024 |
| How to measure the network vulnerability of cities to wildfires: cases in California, USA J Yun, J Lee, J Park, K Chung, J Lee Transportation research record 2676 (12), 382-395, 2022 | 5 | 2022 |
| Point-DeepONet: Predicting Nonlinear Fields on Non-Parametric Geometries under Variable Load Conditions J Park, N Kang Neural Networks, 108560, 2026 | 3* | 2026 |
| SG-DeepONet: A Spatial Gradient-Aware Deep Operator Network for Vehicle Aerodynamic Analysis J Park, N Kang The Korean Society of Mechanical Engineers (KSME), 465-466, 2025 | | 2025 |
| A PointNet-Enhanced Deep Operator Network for Nonlinear Analysis of Non-Parametric 3D Geometries Under Varying Load Conditions J Park, N Kang The 16th World Congress of STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2025 | | 2025 |
| Stress Field Prediction in Nonlinear Static Analysis for Arbitrary 3D Geometries Using Latent-DeepONet J Park, N Kang The Korean Society of Mechanical Engineers (KSME), 2448-2450, 2024 | | 2024 |
| 3D Field Prediction and Uncertainty Quantification with Implicit Neural Representation D Shin, J Park, M Seo, N Kang The Korean Society of Mechanical Engineers (KSME), 289-290, 2024 | | 2024 |
| How to Measure the Vulnerability of Cities to Wildfires: Cases in California J Yun, J Lee, J Park, K Chung, J Lee Transportation Research Board 101st Annual Meeting, 2022 | | 2022 |
Namwoo KangKAISTVerified email at kaist.ac.kr
