3 citations · 7 across the 3 of their papers we have counts for
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A Synergistic Framework Leveraging Autoencoders and Generative Adversarial Networks for the Synthesis of Computational Fluid Dynamics Results in Aerofoil Aerodynamics
Tanishk Nandal, Vaibhav Fulara, Raj Kumar Singh
In the realm of computational fluid dynamics (CFD), accurate prediction of aerodynamic behaviour plays a pivotal role in aerofoil design and optimization. This study proposes a nov…
Parameterization of Forced Isotropic Turbulent Flow using Autoencoders and Generative Adversarial Networks
Kanishk, Tanishk Nandal, Prince Tyagi +1
Autoencoders and generative neural network models have recently gained popularity in fluid mechanics due to their spontaneity and low processing time instead of high fidelity CFD s…
A comparative study of various Deep Learning techniques for spatio-temporal Super-Resolution reconstruction of Forced Isotropic Turbulent flows
T. S. Sachin Venkatesh, Rajat Srivastava, Pratyush Bhatt +2
Super-resolution is an innovative technique that upscales the resolution of an image or a video and thus enables us to reconstruct high-fidelity images from low-resolution data. Th…