Predicting the nonlinear refractive index in glassy materials: a machine learning approach (2024)
- Authors:
- USP affiliated authors: MENDONÇA, CLEBER RENATO - IFSC ; SARAIVA, MURILO NECO - IFSC
- Unidade: IFSC
- Subjects: VIDRO; APRENDIZADO COMPUTACIONAL; ÓPTICA NÃO LINEAR
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Sociedade Brasileira de Física - SBF
- Publisher place: São Paulo
- Date published: 2024
- Source:
- Título: Abstracts
- Conference titles: Optics Exchange
-
ABNT
SARAIVA, Murilo Neco e MENDONÇA, Cleber Renato. Predicting the nonlinear refractive index in glassy materials: a machine learning approach. 2024, Anais.. São Paulo: Sociedade Brasileira de Física - SBF, 2024. Disponível em: https://repositorio.usp.br/directbitstream/7c8ff7a2-f109-4533-a749-835085e158e0/PROD036876_3234978.pdf. Acesso em: 04 mar. 2026. -
APA
Saraiva, M. N., & Mendonça, C. R. (2024). Predicting the nonlinear refractive index in glassy materials: a machine learning approach. In Abstracts. São Paulo: Sociedade Brasileira de Física - SBF. Recuperado de https://repositorio.usp.br/directbitstream/7c8ff7a2-f109-4533-a749-835085e158e0/PROD036876_3234978.pdf -
NLM
Saraiva MN, Mendonça CR. Predicting the nonlinear refractive index in glassy materials: a machine learning approach [Internet]. Abstracts. 2024 ;[citado 2026 mar. 04 ] Available from: https://repositorio.usp.br/directbitstream/7c8ff7a2-f109-4533-a749-835085e158e0/PROD036876_3234978.pdf -
Vancouver
Saraiva MN, Mendonça CR. Predicting the nonlinear refractive index in glassy materials: a machine learning approach [Internet]. Abstracts. 2024 ;[citado 2026 mar. 04 ] Available from: https://repositorio.usp.br/directbitstream/7c8ff7a2-f109-4533-a749-835085e158e0/PROD036876_3234978.pdf - Predição do índice de refração não-linear em materiais vítreos utilizando aprendizado de máquina
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