5 citations · 7 across the 6 of their papers we have counts for
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cs.LG2021★ 2 cited
Machine Learning for Naval Architecture, Ocean and Marine Engineering
J P Panda
Machine Learning (ML) based algorithms have found significant impact in many fields of engineering and sciences, where datasets are available from experiments and high fidelity num…
physics.flu-dyn2021
Evaluation of machine learning algorithms for predictive Reynolds stress transport modeling
J. P. Panda, H. V. Warrior
The application machine learning (ML) algorithms to turbulence modeling has shown promise over the last few years, but their application has been restricted to eddy viscosity based…
physics.flu-dyn2021★ 5 cited
Modelling the Pressure Strain Correlation in turbulent flows using Deep Neural Networks
J P Panda, H V Warrior
The pressure strain correlation plays a critical role in the Reynolds stress transport modelling. Accurate modelling of the pressure strain correlation leads to proper prediction o…