Spectral deep learning for prediction and prospective validation of functional groups

State-of-the-art identification of the functional groups present in an unknown chemical entity requires the expertise of a skilled spectroscopist to analyse and interpret Fourier transform infra-red (FTIR), mass spectroscopy (MS) and/or nuclear magnetic resonance (NMR) data. This process can be time...

Descripción completa

Detalles Bibliográficos
Autores principales: Fine, Jonathan A., Rajasekar, Anand A., Jethava, Krupal P., Chopra, Gaurav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2020
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8152587/
https://www.ncbi.nlm.nih.gov/pubmed/34122917
http://dx.doi.org/10.1039/c9sc06240h

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8152587/
https://www.ncbi.nlm.nih.gov/pubmed/34122917
http://dx.doi.org/10.1039/c9sc06240h

Ejemplares similares