Taylor-Green vortices

Taylor-Green vortices are a benchmark dataset used to evaluate the performance of reinforcement learning algorithms in navigating complex fluid flows, characterized by a specific, periodic vortex structure.

Papers using Taylor-Green vortices (2)

A critical assessment of reinforcement learning methods for microswimmer navigation in complex flows2025 · 3 citesReinforcement learning for anisotropic p-adaptation and error estimation in high-order solvers2024