Source: Journal of Magnetic Resonance Open. Unidade: IFSC
Subjects: ANÁLISE DE DADOS, ESPECTROSCOPIA DE RESSONÂNCIA MAGNÉTICA NUCLEAR, ESTADO SÓLIDO, POLÍMEROS (MATERIAIS)
ABNT
NOVOTNY, Etelvino Henrique e GARCIA, Rodrigo Henrique dos Santos e AZEVÊDO, Eduardo Ribeiro de. Pulse sequence induced variability combined with multivariate analysis as a potential tool for 13C solid-state NMR signals separation, quantification, and classification. Journal of Magnetic Resonance Open, v. 14-15, p. 100089-1-100089-9, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jmro.2022.100089. Acesso em: 31 ago. 2024.APA
Novotny, E. H., Garcia, R. H. dos S., & Azevêdo, E. R. de. (2023). Pulse sequence induced variability combined with multivariate analysis as a potential tool for 13C solid-state NMR signals separation, quantification, and classification. Journal of Magnetic Resonance Open, 14-15, 100089-1-100089-9. doi:10.1016/j.jmro.2022.100089NLM
Novotny EH, Garcia RH dos S, Azevêdo ER de. Pulse sequence induced variability combined with multivariate analysis as a potential tool for 13C solid-state NMR signals separation, quantification, and classification [Internet]. Journal of Magnetic Resonance Open. 2023 ; 14-15 100089-1-100089-9.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.jmro.2022.100089Vancouver
Novotny EH, Garcia RH dos S, Azevêdo ER de. Pulse sequence induced variability combined with multivariate analysis as a potential tool for 13C solid-state NMR signals separation, quantification, and classification [Internet]. Journal of Magnetic Resonance Open. 2023 ; 14-15 100089-1-100089-9.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.jmro.2022.100089