Machine learning models for the density and heat capacity of ionic liquid–water binary mixtures-Reference-Cited by-同舟云学术

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Machine learning models for the density and heat capacity of ionic liquid–water binary mixtures

Published:2024-09 Issue: Volume:73 Page:244-255
ISSN:1004-9541
Container-title:Chinese Journal of Chemical Engineering
language:en
Short-container-title:Chinese Journal of Chemical Engineering

Author:

Fu Yingxue^ORCID,Liu Xinyan^ORCID,Gao Jingzi,Lei Yang,Chen Yuqiu,Zhang Xiangping^ORCID

Publisher

Elsevier BV

Reference57 articles.

1. Nanoconfined ionic liquids;Zhang;Chem. Rev.,2017

2. Are ionic liquids eco-friendly?;de Jesus;Renew. Sustain. Energy Rev.,2022

3. COSMO-RS prediction, liquid-liquid equilibrium experiment and quantum chemistry calculation for the separation of n-butanol and n-heptane system using ionic liquids;Zhang;J. Chem. Thermodyn.,2022

4. Density, refractive index, and derived properties of binary mixtures of water + ionic liquid 1-(2-hydroxyethyl)-3-methylimidazolium tetrafluoroborate;Rives;J. Chem. Thermodyn.,2021

5. Sustainable catalytic process for fructose dehydration using dicationic ionic liquid assisted ZSM-5 zeolite;Prasad;Mater. Manuf. Process.,2021

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