Learning Representation of Turbulent Vector Fields via Efficient Moving Least Squares Based on Monte Carlo Method

In this study, we develop a numerical method to represent turbulent flow in various 2D vector fields using the Monte Carlo method-based MLS (Moving Least Squares) from a density field and express it as a learning representation through a neural network. Conventional MLS performs high-order interpola...

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Váldodahkkit:	Jong-Hyun Kim, Jung Lee
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	IEEE 2025-01-01
Ráidu:	IEEE Access
Fáttát:	Fluid simulation turbulent vector fields turbulent flow moving leasts squares Monte Carlo method high-order interpolation
Liŋkkat:	https://ieeexplore.ieee.org/document/11132314/
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