Evaluation of three potential machine learning algorithms for predicting the velocity and turbulence intensity of a wind turbine wake S Purohit, EYK Ng, IFSA Kabir Renewable Energy 184, 405-420, 2022 | 27 | 2022 |
Mechanical and morphological characterization of carbonized egg-shell fillers/Borassus fibre reinforced polyester hybrid composites A Baby, SY Nayak, SS Heckadka, S Purohit, KK Bhagat, LG Thomas Materials Research Express 6 (10), 105342, 2019 | 17 | 2019 |
On the accuracy of uRANS and LES-based CFD modeling approaches for rotor and wake aerodynamics of the (New) MEXICO wind turbine rotor phase-iii S Purohit, IFSA Kabir, EYK Ng Energies 14 (16), 5198, 2021 | 15 | 2021 |
Heat transfer augmentation using an innovative helicoidal finned absorber plate in a solar air heater—a numerical study S Purohit, N Madhwesh, K Vasudeva Karanth, N Yagnesh Sharma Journal of Solar Energy Engineering 141 (3), 031016, 2019 | 12 | 2019 |
On the limitations of machine learning (ml) methodologies in predicting the wake characteristics of wind turbines MK Gajendran, IFSA Kabir, S Purohit, EYK Ng Renewable Energy Systems in Smart Grid: Select Proceedings of International …, 2022 | 6 | 2022 |
Computational flow and heat transfer study on impingement cooling in a turbine blade leading edge using an innovative convergent nozzles N Madhwesh, S Purohit, KV Karanth Journal of the Brazilian Society of Mechanical Sciences and Engineering 45 …, 2023 | 2 | 2023 |
Probing dynamics of elliptical vortex rings via direct vorticity measurements with digital inline holography S Purohit, J Li, J Hong Bulletin of the American Physical Society, 2023 | | 2023 |
Numerical modeling and machine learning for wind turbine aerodynamics and condition monitoring S Purohit Nanyang Technological University, 2022 | | 2022 |