Simple estimations of the speed of sound in ionic liquids, with and without any physical property data available-Reference-Cited by-同舟云学术

Simple estimations of the speed of sound in ionic liquids, with and without any physical property data available

Published:2020-01 Issue: Volume:503 Page:112291
ISSN:0378-3812
Container-title:Fluid Phase Equilibria
language:en
Short-container-title:Fluid Phase Equilibria

Author:

Haghbakhsh Reza^ORCID,Keshtkari Simin,Raeissi Sona^ORCID

Funder

Shiraz University

Publisher

Elsevier BV

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy,General Chemical Engineering

Reference99 articles.

1. Speed of sound of ionic liquids: database, estimation, and its application for thermal conductivity prediction;Wu;AIChE J.,2014

2. Corresponding- states modeling of the speed of sound of long-chain hydrocarbons;Queimada;Int. J. Thermophys.,2006

3. The speed of sound and derived thermodynamic properties of pure water at temperatures between (253 and 473) K and at pressures up to 400 MPa;Lin;J. Chem. Phys.,2012

4. Estimation of speed of sound of ionic liquids using surface tensions and densities: a volume based approach;Gardas;Fluid Phase Equilib.,2008

5. New method for deriving accurate thermodynamic properties from speed-of-sound;Estrada-Alexanders;J. Chem. Thermodyn.,2004

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predictive understanding of the surface tension and velocity of sound in ionic liquids using machine learning;The Journal of Chemical Physics;2023-06-01

2. Quantum Chemistry-Driven Machine Learning Approach for the Prediction of the Surface Tension and Speed of Sound in Ionic Liquids;ACS Sustainable Chemistry & Engineering;2023-05-10

3. QSPR Model to Predict the Speed of Sound of Ionic Liquids as a Function of Variable Temperature and Pressure;Industrial & Engineering Chemistry Research;2023-03-29

4. Prediction of sound velocity for selected ionic liquids using a multilayer feed-forward neural network;Journal of Molecular Liquids;2022-02

5. Group contribution and atomic contribution models for the prediction of various physical properties of deep eutectic solvents;Scientific Reports;2021-03-23