Fonte: ACS Applied Nano Materials. Unidades: IFSC, ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, COVID-19, EFEITO RAMAN
ABNT
PAZIN, Wallance Moreira et al. Explainable machine learning to unveil detection mechanisms with au nanoisland-based surface-enhanced raman scattering for SARS-CoV-2 antigen detection. ACS Applied Nano Materials, v. 7, n. Ja 2024, p. 2335-2342, 2024Tradução . . Disponível em: https://doi.org/10.1021/acsanm.3c05848. Acesso em: 18 ago. 2024.APA
Pazin, W. M., Furini, L. N., Braz, D. C., Popolin Neto, M., Fernandes, J. D., Constantino, C. J. L., & Oliveira Junior, O. N. de. (2024). Explainable machine learning to unveil detection mechanisms with au nanoisland-based surface-enhanced raman scattering for SARS-CoV-2 antigen detection. ACS Applied Nano Materials, 7( Ja 2024), 2335-2342. doi:10.1021/acsanm.3c05848NLM
Pazin WM, Furini LN, Braz DC, Popolin Neto M, Fernandes JD, Constantino CJL, Oliveira Junior ON de. Explainable machine learning to unveil detection mechanisms with au nanoisland-based surface-enhanced raman scattering for SARS-CoV-2 antigen detection [Internet]. ACS Applied Nano Materials. 2024 ; 7( Ja 2024): 2335-2342.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1021/acsanm.3c05848Vancouver
Pazin WM, Furini LN, Braz DC, Popolin Neto M, Fernandes JD, Constantino CJL, Oliveira Junior ON de. Explainable machine learning to unveil detection mechanisms with au nanoisland-based surface-enhanced raman scattering for SARS-CoV-2 antigen detection [Internet]. ACS Applied Nano Materials. 2024 ; 7( Ja 2024): 2335-2342.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1021/acsanm.3c05848