| Physics informed extreme learning machine (pielm)–a rapid method for the numerical solution of partial differential equations V Dwivedi, B Srinivasan Neurocomputing 391, 96-118, 2020 | 150 | 2020 |
| Distributed learning machines for solving forward and inverse problems in partial differential equations V Dwivedi, N Parashar, B Srinivasan Neurocomputing 420, 299-316, 2021 | 62 | 2021 |
| Distributed physics informed neural network for data-efficient solution to partial differential equations V Dwivedi, N Parashar, B Srinivasan arXiv preprint arXiv:1907.08967, 2019 | 44 | 2019 |
| Solution of biharmonic equation in complicated geometries with physics informed extreme learning machine V Dwivedi, B Srinivasan Journal of Computing and Information Science in Engineering 20 (6), 061004, 2020 | 18 | 2020 |
| A normal equation-based extreme learning machine for solving linear partial differential equations V Dwivedi, B Srinivasan Journal of Computing and Information Science in Engineering 22 (1), 014502, 2022 | 13 | 2022 |
| Prediction of transition in temporal mixing layer using ILES V Dwivedi, B Srinivasan International Journal of Advances in Engineering Sciences and Applied …, 2018 | 1 | 2018 |
| Global versus Local: Evaluating AlexNet Architectures for Tropical Cyclone Intensity Estimation V Dwivedi arXiv preprint arXiv:2404.07395, 2024 | | 2024 |
| Physics informed contour selection for rapid image segmentation V Dwivedi, B Srinivasan, G Krishnamurthi Scientific Reports 14 (1), 6996, 2024 | | 2024 |
| Rapid machine learning-based solutions of partial differential equations on complex domains. V Dwivedi, B Srinivasan Bulletin of the American Physical Society 65, 2020 | | 2020 |
Balaji SrinivasanProfessor, Mechanical Engineering, IIT MadrasVerified email at iitm.ac.in
