An ionic fragments contribution-COSMO method to predict the surface charge density profiles of ionic liquids-Reference-Cited by-同舟云学术

An ionic fragments contribution-COSMO method to predict the surface charge density profiles of ionic liquids

Published:2019-05 Issue: Volume:282 Page:292-302
ISSN:0167-7322
Container-title:Journal of Molecular Liquids
language:en
Short-container-title:Journal of Molecular Liquids

Author:

Tu Wenhui,Bai Lu,Zeng Shaojuan,Gao Hongshuai,Zhang Suojiang,Zhang Xiangping

Funder

National Key Projects for Fundamental Research and Development of China

National Natural Science Fund for Distinguished Young Scholars

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

Publisher

Elsevier BV

Subject

Materials Chemistry,Physical and Theoretical Chemistry,Spectroscopy,Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference38 articles.

1. Predictive methods for the estimation of thermophysical properties of ionic liquids;Coutinho;RSC Adv.,2012

2. A simple group contribution correlation for modeling the surface tension of pure ionic liquids;Shahsavari;J. Mol. Liq.,2018

3. Structure-property relationships in ILs: vaporization enthalpies of pyrrolidinium based ionic liquids;Zaitsau;J. Mol. Liq.,2014

4. A group contribution method to estimate the viscosity of ionic liquids at different temperatures;Lazzus;J. Mol. Liq.,2015

5. Viscosity of ionic liquids: an extensive database and a new group contribution model based on a feed-forward artificial neural network;Paduszynski;J. Chem. Inf. Model.,2014

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