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...

Descripción completa

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

Internet

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

Ejemplares similares