Saraiva, Murilo Neco; Mendonça, Cleber Renato 
Source: Journal of Applied Physics. Unidade: IFSC
Subjects: VIDRO, ÓPTICA NÃO LINEAR, INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
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SARAIVA, Murilo Neco e MENDONÇA, Cleber Renato. Assessing the potential of machine learning for predicting the nonlinear refractive index of glasses. Journal of Applied Physics, v. 138, n. 14, p. 143103-1-143103-12 + supplementary material, 2025Tradução . . Disponível em: https://doi.org/10.1063/5.0289970. Acesso em: 09 nov. 2025.APA
Saraiva, M. N., & Mendonça, C. R. (2025). Assessing the potential of machine learning for predicting the nonlinear refractive index of glasses. Journal of Applied Physics, 138( 14), 143103-1-143103-12 + supplementary material. doi:10.1063/5.0289970NLM
Saraiva MN, Mendonça CR. Assessing the potential of machine learning for predicting the nonlinear refractive index of glasses [Internet]. Journal of Applied Physics. 2025 ; 138( 14): 143103-1-143103-12 + supplementary material.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1063/5.0289970Vancouver
Saraiva MN, Mendonça CR. Assessing the potential of machine learning for predicting the nonlinear refractive index of glasses [Internet]. Journal of Applied Physics. 2025 ; 138( 14): 143103-1-143103-12 + supplementary material.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1063/5.0289970
