| A finite element-inspired hypergraph neural network: Application to fluid dynamics simulations R Gao, IK Deo, RK Jaiman Journal of Computational Physics, 112866, 2024 | 15* | 2024 |
| Predicting fluid–structure interaction with graph neural networks R Gao, RK Jaiman Physics of Fluids 36 (1), 2024 | 9* | 2024 |
| Combined space–time reduced-order model with three-dimensional deep convolution for extrapolating fluid dynamics IK Deo, R Gao, R Jaiman Physics of Fluids 35 (4), 2023 | 9 | 2023 |
| Effects of Outlier Flow Field on the Characteristics of In-Cylinder Coherent Structures Identified by Proper Orthogonal Decomposition-Based Conditional Averaging and Quadruple … R Gao, L Shen, KY Teh, P Ge, F Zhao, DLS Hung Journal of Engineering for Gas Turbines and Power 141 (8), 2019 | 5* | 2019 |
| Towards spatio-temporal prediction of cavitating fluid flow with graph neural networks R Gao, S Heydari, RK Jaiman International Journal of Multiphase Flow 177, 104858, 2024 | 3 | 2024 |
| H-SIREN: Improving implicit neural representations with hyperbolic periodic functions R Gao, RK Jaiman arXiv preprint arXiv:2410.04716, 2024 | | 2024 |
| Application of Conditional Space-Time Proper Orthogonal Decomposition to Engine In-Cylinder Flow Analysis R Gao, KY Teh, F Zhao, M Liu, DLS Hung Internal Combustion Engine Division Fall Technical Conference 85512, V001T01A001, 2021 | | 2021 |
