New Method Based on the UNIFACVISCO Model for the Estimation of Ionic Liquids Viscosity Using the Experimental Data Recommended by Mathematical Gnostics.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985858%3A_____%2F16%3A00466492" target="_blank" >RIV/67985858:_____/16:00466492 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1021/acs.jced.6b00689" target="_blank" >http://dx.doi.org/10.1021/acs.jced.6b00689</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1021/acs.jced.6b00689" target="_blank" >10.1021/acs.jced.6b00689</a>

Result language

angličtina

Original language name

New Method Based on the UNIFACVISCO Model for the Estimation of Ionic Liquids Viscosity Using the Experimental Data Recommended by Mathematical Gnostics.

Original language description

The viscosity of ionic liquids (ILs) has been modeled as a function of temperature and at atmospheric pressure using a new method based on the UNIFACVISCO method. This model extends the calculations previously reported by our group which used 154 experimental viscositydata points of 25 ionic liquids for regression of a set of binary interaction parameters and ion VogelFulcherTammann(VFT) parameters. Discrepancies in the experimental data ofthe same IL affect the quality of the correlation and thus the development of the predictive method. In this work, mathe-matical gnostics was used to analyze the experimental data from different sources and recommend one set of reliable data foreach IL. These recommended data (totally 819 data points) for 70 ILs were correlated using this model to obtain an extended set of binary interaction parameters and ion VFT parameters, with a regression accuracy of 1.4%. In addition, 966 experimental viscosity data points for 11 binary mixtures of ILs were collected from literature to establish this model. All the binary data consist of 128 training data points used for the optimization of Binary interaction parameters and 838 test data points used for the comparison of the pure evaluated values. The relative average absolute deviation (RAAD) for training and test is 2.9% and 3.9%, respectively.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

CF - Physical chemistry and theoretical chemistry

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Chemical and Engineering Data

ISSN

0021-9568

e-ISSN

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Volume of the periodical

61

Issue of the periodical within the volume

111

Country of publishing house

US - UNITED STATES

Number of pages

14

Pages from-to

3908-3921

UT code for WoS article

000387738400025

EID of the result in the Scopus database

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