Signal Deconvolution and Generative Topographic Mapping Regression for Solid-State NMR of Multi-Component Materials

Solid-state nuclear magnetic resonance (ssNMR) spectroscopy provides information on native structures and the dynamics for predicting and designing the physical properties of multi-component solid materials. However, such an analysis is difficult because of the broad and overlapping spectra of these...

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Detalles Bibliográficos
Autores principales: Yamada, Shunji, Chikayama, Eisuke, Kikuchi, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865946/
https://www.ncbi.nlm.nih.gov/pubmed/33499371
http://dx.doi.org/10.3390/ijms22031086

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865946/
https://www.ncbi.nlm.nih.gov/pubmed/33499371
http://dx.doi.org/10.3390/ijms22031086

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