Random forest for chalcogenide glasses: a data-driven method for predicting the nonlinear refractive index (2025)
- Authors:
- USP affiliated authors: MENDONÇA, CLEBER RENATO - IFSC ; SARAIVA, MURILO NECO - IFSC
- Unidade: IFSC
- DOI: 10.1109/SBFotonIOPC66433.2025.11218356
- Subjects: FÍSICA COMPUTACIONAL; ÓPTICA NÃO LINEAR; VIDRO CERÂMICO
- Keywords: Machine learning; Nonlinear refractive index; Glass; Z-scan
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2025
- Source:
- Título: Proceedings
- Conference titles: SBFoton International Optics and Photonics Conference - IOPC
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SARAIVA, Murilo Neco e MENDONÇA, Cleber Renato. Random forest for chalcogenide glasses: a data-driven method for predicting the nonlinear refractive index. 2025, Anais.. Piscataway: IEEE, 2025. Disponível em: https://doi.org/10.1109/SBFotonIOPC66433.2025.11218356. Acesso em: 25 jan. 2026. -
APA
Saraiva, M. N., & Mendonça, C. R. (2025). Random forest for chalcogenide glasses: a data-driven method for predicting the nonlinear refractive index. In Proceedings. Piscataway: IEEE. doi:10.1109/SBFotonIOPC66433.2025.11218356 -
NLM
Saraiva MN, Mendonça CR. Random forest for chalcogenide glasses: a data-driven method for predicting the nonlinear refractive index [Internet]. Proceedings. 2025 ;[citado 2026 jan. 25 ] Available from: https://doi.org/10.1109/SBFotonIOPC66433.2025.11218356 -
Vancouver
Saraiva MN, Mendonça CR. Random forest for chalcogenide glasses: a data-driven method for predicting the nonlinear refractive index [Internet]. Proceedings. 2025 ;[citado 2026 jan. 25 ] Available from: https://doi.org/10.1109/SBFotonIOPC66433.2025.11218356 - Predição do índice de refração não-linear em materiais vítreos utilizando aprendizado de máquina
- Predicting the nonlinear refractive index in glassy materials: a machine learning approach
- Assessing the potential of machine learning for predicting the nonlinear refractive index of glasses
- Machine learning application in nonlinear optics: predicting the nonlinear refractive index in glassy materials
- Dimensionality reduction and neural networks for predicting NV center generation in femtosecond laser-processed diamond
- Excited state in Zn phthalocyanines
- Two-photon polymerization microfabrication of double doped structures
- 3D cell-migration studies using two-photon engineered polymer scaffolds
- Three dimensional microfabrication by two-photon photopolymerization
- Investigation of the degenerate two-photon absorption cross-section in all-trans retinal: nonlinear spectrum and molecular structures
Informações sobre o DOI: 10.1109/SBFotonIOPC66433.2025.11218356 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
PROD037981_3285461.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
