On-Demand Inverse Design of Metamaterials Using Deep Neural Networks with Bayesian Optimization
Recent advances in metamaterial design highlight methodologies tailoring metamaterials to achieve target behaviors in specific applications. This investigation presents a data-driven design approach using deep neural networks for the on-demand inverse design of metamaterials to address limitations i...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Association for the Advancement of Science (AAAS)
2025-01-01
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| coleção: | Intelligent Computing |
| Acesso em linha: | https://spj.science.org/doi/10.34133/icomputing.0139 |
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