9 citations · 10 across the 5 of their papers we have counts for
5 papers
Physics Informed Neural Networks for Free Shear Flows
Siddharth Raghu, Rajdip Nayek, Vamsi Chalamalla
The transformative impact of machine learning, particularly Deep Learning (DL), on scientific and engineering domains is evident. In the context of computational fluid dynamics (CF…
Improvement in sealing effectiveness of air curtains using positive buoyancy
Tanmay Agrawal, Narsing K. Jha, Vamsi K. Chalamalla
Air curtains are commonly employed in building applications to facilitate aerodynamic sealing against the exchange flow that occurs through an open doorway due to the density diffe…
Application of machine learning for forced plume in linearly stratified medium
Manthan Mahajan, Nitin Kumar, Deep Shikha +2
Direct numerical simulation (DNS) is very accurate however, the computational cost increases significantly with the increase in Reynolds number. On the other hand, we have the Reyn…
Super Cyclone Amphan: A Dynamical Case Study
Sridhar Balasubramanian, Vamsi K Chalamalla
Cyclone Amphan, a super cyclone in the Bay of Bengal after 21 years, intensified from a cyclonic storm (CAT 1) to a super cyclone (CAT 5) in less than 36 hours. It went on to make…
Spontaneous superharmonic internal wave generation by modal interactions in uniform and nonuniform stratifications
Dheeraj Varma, Vamsi K. Chalamalla, Manikandan Mathur
Triadic resonance is one mechanism via which internal waves dissipate their energy, often at locations away from their generation sites. In this paper, we perform a combined theore…