| Multiscale graph neural network autoencoders for interpretable scientific machine learning S Barwey, V Shankar, V Viswanathan, R Maulik Journal of Computational Physics 495, 112537, 2023 | 11 | 2023 |
| Learning non-linear spatio-temporal dynamics with convolutional Neural ODEs V Shankar, G Portwood, A Mohan, P Mitra, C Rackauckas, L Wilson, ... Third Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020), 2020 | 10 | 2020 |
| Differentiable physics-enabled closure modeling for Burgers’ turbulence V Shankar, V Puri, R Balakrishnan, R Maulik, V Viswanathan Machine Learning: Science and Technology 4 (1), 015017, 2023 | 8 | 2023 |
| Validation and parameterization of a novel physics-constrained neural dynamics model applied to turbulent fluid flow V Shankar, GD Portwood, AT Mohan, PP Mitra, D Krishnamurthy, ... Physics of Fluids 34 (11), 2022 | 5 | 2022 |
| Rapid spatiotemporal turbulence modeling with convolutional Neural ODEs V Shankar, G Portwood, A Mohan, P Mitra, V Viswanathan, D Schmidt APS Division of Fluid Dynamics Meeting Abstracts, X11. 004, 2020 | 3 | 2020 |
| Platooning for Improved Safety and Efficiency of Semi-trucks [PISES] V Viswanathan, V Shankar, S Sripad Mobility21, Carnegie Mellon University, 2019 | 1 | 2019 |
| Learning closure models with neural operator-embedded differentiable CFD V Shankar, V Viswanathan APS March Meeting Abstracts 2023, S53. 002, 2023 | | 2023 |
| Differentiable physics-enabled closure modeling for Burgers' turbulence V Shankar, V Puri, R Balakrishnan, R Maulik, V Viswanathan arXiv preprint arXiv:2209.11614, 2022 | | 2022 |
| Physics-guided surrogate models for fluid dynamics in complex geometries V Shankar, R Walters, R Wang, R Yu, V Viswanathan APS March Meeting Abstracts 2022, A32. 003, 2022 | | 2022 |
| Platooning for Improved Safety and Efficiency of Semi-Trucks (PISES) II V Viswanathan, V Shankar, S Sripad Mobility21, Carnegie Mellon University, 2021 | | 2021 |
