| Multi-level convolutional autoencoder networks for parametric prediction of spatio-temporal dynamics J Xu, K Duraisamy Computer Methods in Applied Mechanics and Engineering 372, 113379, 2020 | 152 | 2020 |
| Exploration of reduced-order models for rocket combustion applications C Huang, J Xu, K Duraisamy, C Merkle 2018 AIAA Aerospace Sciences Meeting, 1183, 2018 | 29 | 2018 |
| Conditionally parameterized, discretization-aware neural networks for mesh-based modeling of physical systems J Xu, A Pradhan, K Duraisamy Advances in Neural Information Processing Systems 34, 1634-1645, 2021 | 28 | 2021 |
| Reduced-order modeling framework for combustor instabilities using truncated domain training J Xu, C Huang, K Duraisamy AIAA Journal 58 (2), 618-632, 2020 | 20 | 2020 |
| Simulation of maritime helicopter dynamics during approach to landing with time-accurate wind-over-deck A Sharma, J Xu, AK Padthe, PP Friedmann, K Duraisamy AIAA SciTech 2019 forum, 0861, 2019 | 9 | 2019 |
| Reduced-order modeling of model rocket combustors J Xu, K Duraisamy 53rd AIAA/SAE/ASEE Joint Propulsion Conference, 4918, 2017 | 6 | 2017 |
| Multi-Domain Reduced-Order Modeling with Sparse Acceleration of Combustion Instability J Xu, C Huang, K Duraisamy 2018 Joint Propulsion Conference, 4680, 2018 | 3 | 2018 |
| Unsteady Flow Field Predictions Using Multi-level Deep Convolutional Autoencoder Networks J Xu, K Duraisamy APS Division of Fluid Dynamics Meeting Abstracts, C17. 001, 2019 | | 2019 |
