Insights into modeling refractive index of ionic liquids using chemical structure-based machine learning methods
Abstract 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 in...
Main Authors: | Ali Esmaeili, Hesamedin Hekmatmehr, Saeid Atashrouz, Seyed Ali Madani, Maryam Pourmahdi, Dragutin Nedeljkovic, Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-07-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-39079-5 |
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