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Defiltering turbulent flow fields for Lagrangian particle tracking using machine learning techniques
Autor:
Oura, Tomoya, Fukagata, Koji
We propose a defiltering method of turbulent flow fields for Lagrangian particle tracking using machine learning techniques. Numerical simulation of Lagrangian particle tracking is commonly used in various fields. In general, practical applications r
Externí odkaz:
http://arxiv.org/abs/2411.04384
