Flow control of three-dimensional cylinders transitioning to turbulence via multi-agent reinforcement learning
Abstract Active flow control strategies for three-dimensional bluff bodies are challenging to design, yet critical for industrial applications. Here we explore the potential of discovering novel drag-reduction strategies using deep reinforcement learning. We introduce a high-dimensional active flow...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
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| Series: | Communications Engineering |
| Online Access: | https://doi.org/10.1038/s44172-025-00446-x |
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