Toward machine-learning-accelerated design of all-dielectric magnetophotonic nanostructures (2024)
- Authors:
- USP affiliated authors: OLIVEIRA JUNIOR, OSVALDO NOVAIS DE - IFSC ; CARVALHO, WILLIAM ORIVALDO FARIA - IFSC
- Unidade: IFSC
- DOI: 10.1021/acsami.4c06740
- Subjects: MATERIAIS NANOESTRUTURADOS; MAGNETISMO; REDES NEURAIS; APRENDIZADO COMPUTACIONAL
- Keywords: All-dielectric; Machine-learning-accelerated design; Magnetophotonic; Neural networks; Polynomial regression; TMOKE sensing
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Washington, DC
- Date published: 2024
- Source:
- Título: ACS Applied Materials and Interfaces
- ISSN: 1944-8244
- Volume/Número/Paginação/Ano: v. 16, n. 32, p. 42828-42834 + supporting information, July 2024
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by
-
ABNT
CARVALHO, William Orivaldo Faria et al. Toward machine-learning-accelerated design of all-dielectric magnetophotonic nanostructures. ACS Applied Materials and Interfaces, v. 16, n. 32, p. 42828-42834 + supporting information, 2024Tradução . . Disponível em: https://doi.org/10.1021/acsami.4c06740. Acesso em: 27 dez. 2025. -
APA
Carvalho, W. O. F., Taier Filho, M. T. A., Oliveira Junior, O. N. de, Mejía-Salazar, J. R., & Figueiredo, F. A. P. de. (2024). Toward machine-learning-accelerated design of all-dielectric magnetophotonic nanostructures. ACS Applied Materials and Interfaces, 16( 32), 42828-42834 + supporting information. doi:10.1021/acsami.4c06740 -
NLM
Carvalho WOF, Taier Filho MTA, Oliveira Junior ON de, Mejía-Salazar JR, Figueiredo FAP de. Toward machine-learning-accelerated design of all-dielectric magnetophotonic nanostructures [Internet]. ACS Applied Materials and Interfaces. 2024 ; 16( 32): 42828-42834 + supporting information.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1021/acsami.4c06740 -
Vancouver
Carvalho WOF, Taier Filho MTA, Oliveira Junior ON de, Mejía-Salazar JR, Figueiredo FAP de. Toward machine-learning-accelerated design of all-dielectric magnetophotonic nanostructures [Internet]. ACS Applied Materials and Interfaces. 2024 ; 16( 32): 42828-42834 + supporting information.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1021/acsami.4c06740 - Broadband enhancement of magneto-optical effects in hybrid waveguide-plasmonic surfaces for sensing
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Informações sobre o DOI: 10.1021/acsami.4c06740 (Fonte: oaDOI API)
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