| 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 | 206 | 2012 |
| 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 | 147 | 2020 |
| 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 | 126 | 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 | 111 | 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 | 92 | 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 | 60 | 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 |
| An adaptive mesh strategy for singularly perturbed convection diffusion problems V Kumar, B Srinivasan Applied Mathematical Modelling 39 (7), 2081-2091, 2015 | 40 | 2015 |
| 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 | 18 | 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 | 18 | 2019 |
| 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 | 18 | 2016 |
| LES of a turbulent slot impinging jet to predict fluid flow and heat transfer R Dutta, B Srinivasan, A Dewan Numerical Heat Transfer, Part A: Applications 64 (10), 759-776, 2013 | 18 | 2013 |
| “Migration energy” for impurity diffusion in crystalline solids: A closer look P Ramanarayanan, B Srinivasan, K Cho, BM Clemens Journal of applied physics 96 (12), 7095-7107, 2004 | 18 | 2004 |
| Modeling the pressure-Hessian tensor using deep neural networks N Parashar, B Srinivasan, SS Sinha Physical Review Fluids 5 (11), 114604, 2020 | 17 | 2020 |
| 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 | 16 | 2017 |
| An upwinded state approximate Riemann solver B Srinivasan, A Jameson, S Krishnamoorthy International Journal for Numerical Methods in Fluids 70 (5), 578-602, 2012 | 16 | 2012 |
| Lagrangian investigations of vorticity dynamics in compressible turbulence N Parashar, SS Sinha, M Danish, B Srinivasan Physics of Fluids 29 (10), 2017 | 13 | 2017 |
| A direct numerical simulation-based investigation and modeling of pressure Hessian effects on compressible velocity gradient dynamics M Danish, S Suman, B Srinivasan Physics of Fluids 26 (12), 2014 | 13 | 2014 |
| Calculating three-dimensional transonic flow using a gas-kinetic BGK finite-volume method G May, B Srinivasan, A Jameson 43 rd AIAA Aerospace Sciences Meeting and Exhibit, 2005, 2005 | 13* | 2005 |
Nishant ParasharIIT DelhiVerified email at am.iitd.ac.in
