| 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 | 222 | 2020 |
| Recent trends in computation of turbulent jet impingement heat transfer A Dewan, R Dutta, B Srinivasan Heat Transfer Engineering 33 (4-5), 447-460, 2012 | 213 | 2012 |
| A generalized deep learning framework for whole-slide image segmentation and analysis M Khened, A Kori, H Rajkumar, G Krishnamurthi, B Srinivasan Scientific reports 11 (1), 11579, 2021 | 183 | 2021 |
| Comparison of various integration to wall (ITW) RANS models for predicting turbulent slot jet impingement heat transfer R Dutta, A Dewan, B Srinivasan International Journal of Heat and Mass Transfer 65, 750-764, 2013 | 124 | 2013 |
| An improved gas-kinetic BGK finite-volume method for three-dimensional transonic flow G May, B Srinivasan, A Jameson Journal of Computational Physics 220 (2), 856-878, 2007 | 94 | 2007 |
| Distributed learning machines for solving forward and inverse problems in partial differential equations V Dwivedi, N Parashar, B Srinivasan Neurocomputing 420, 299-316, 2021 | 92 | 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 | 69 | 2019 |
| Heat transfer engineering: fundamentals and techniques C Balaji, B Srinivasan, S Gedupudi Academic Press, 2020 | 51 | 2020 |
| An adaptive mesh strategy for singularly perturbed convection diffusion problems V Kumar, B Srinivasan Applied Mathematical Modelling 39 (7), 2081-2091, 2015 | 45 | 2015 |
| Solving inverse heat transfer problems without surrogate models: a fast, data-sparse, physics informed neural network approach V Oommen, B Srinivasan Journal of Computing and Information Science in Engineering 22 (4), 041012, 2022 | 39 | 2022 |
| Chapter 7-heat exchangers C Balaji, B Srinivasan, S Gedupudi Heat Transfer Engineering, 199-231, 2021 | 30 | 2021 |
| Large eddy simulation of turbulent slot jet impingement heat transfer at small nozzle-to-plate spacing R Dutta, A Dewan, B Srinivasan Heat Transfer Engineering 37 (15), 1242-1251, 2016 | 29 | 2016 |
| 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 | 24 | 2020 |
| Topology-based characterization of compressibility effects in mixing layers S Arun, A Sameen, B Srinivasan, SS Girimaji Journal of Fluid Mechanics 874, 38-75, 2019 | 23 | 2019 |
| Determining the sensitive parameters of the Weather Research and Forecasting (WRF) model for the simulation of tropical cyclones in the Bay of Bengal using global sensitivity … H Baki, S Chinta, C Balaji, B Srinivasan Geoscientific Model Development 15 (5), 2133-2155, 2022 | 22 | 2022 |
| Modeling the pressure-Hessian tensor using deep neural networks N Parashar, B Srinivasan, SS Sinha Physical Review Fluids 5 (11), 114604, 2020 | 22 | 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 | 21 | 2022 |
| Finite element approximation of nonlocal parabolic problem S Chaudhary, V Srivastava, VVKS Kumar, B Srinivasan Numerical Methods for Partial Differential Equations 33 (3), 786-813, 2017 | 21 | 2017 |
| CFD study of slot jet impingement heat transfer with nanofluids R Dutta, A Dewan, B Srinivasan Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2016 | 20 | 2016 |
| A sensitivity study of WRF model microphysics and cumulus parameterization schemes for the simulation of tropical cyclones using GPM radar data H Baki, S Chinta, C Balaji, B Srinivasan Journal of Earth System Science 130, 1-30, 2021 | 18 | 2021 |
Nishant ParasharIIT DelhiVerified email at am.iitd.ac.in
