April 9, 2024, 4:42 a.m. | Rajat Sarkar, Krishna Sai Sudhir Aripirala, Vishal Sudam Jadhav, Sagar Srinivas Sakhinana, Venkataramana Runkana

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.04615v1 Announce Type: cross
Abstract: Computational Fluid Dynamics (CFD) serves as a powerful tool for simulating fluid flow across diverse industries. High-resolution CFD simulations offer valuable insights into fluid behavior and flow patterns, aiding in optimizing design features or enhancing system performance. However, as resolution increases, computational data requirements and time increase proportionately. This presents a persistent challenge in CFD. Recently, efforts have been directed towards accurately predicting fine-mesh simulations using coarse-mesh simulations, with geometry and boundary conditions as input. …

abstract arxiv behavior cfd computational cs.ai cs.lg data design diverse dynamics features flow fluid dynamics however independent industries insights mesh patterns performance physics.flu-dyn predictions requirements resolution simulations superresolution tool type

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