Quantitative Structural Description of Zeolites by Machine Learning Analysis of Infrared Spectra

[Image: see text] Application of machine learning (ML) algorithms to spectroscopic data has a great potential for obtaining hidden correlations between structural information and spectral features. Here, we apply ML algorithms to theoretically simulated infrared (IR) spectra to establish the structu...

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Detalles Bibliográficos
Autores principales: Skorynina, Alina A., Protsenko, Bogdan O., Usoltsev, Oleg A., Guda, Sergey A., Bugaev, Aram L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10155178/
https://www.ncbi.nlm.nih.gov/pubmed/37058157
http://dx.doi.org/10.1021/acs.inorgchem.2c04395

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10155178/
https://www.ncbi.nlm.nih.gov/pubmed/37058157
http://dx.doi.org/10.1021/acs.inorgchem.2c04395

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