Reinforcement learning optimisation for graded metamaterial design using a physical-based constraint on the state representation and action space
Abstract The energy harvesting capability of a graded metamaterial is maximised via reinforcement learning (RL) under realistic excitations at the microscale. The metamaterial consists of a waveguide with a set of beam-like resonators of variable length, with piezoelectric patches, attached to it. T...
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| Principais autores: | , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Portfolio
2023-12-01
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| Serier: | Scientific Reports |
| Online adgang: | https://doi.org/10.1038/s41598-023-48927-3 |
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