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Insights into modeling refractive index of ionic liquids using chemical structure-based machine learning methods

Ionic liquids (ILs) have drawn much attention due to their extensive applications and environment-friendly nature. Refractive index prediction is valuable for ILs quality control and property characterization. This paper aims to predict refractive indices of pure ILs and identify factors influencing...

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Detalles Bibliográficos
Autores principales:	Esmaeili, Ali, Hekmatmehr, Hesamedin, Atashrouz, Saeid, Madani, Seyed Ali, Pourmahdi, Maryam, Nedeljkovic, Dragutin, Hemmati-Sarapardeh, Abdolhossein, Mohaddespour, Ahmad
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10366230/ https://www.ncbi.nlm.nih.gov/pubmed/37488224 http://dx.doi.org/10.1038/s41598-023-39079-5

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