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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

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