Data for: A novel and effective approach for viscosity prediction of binary and multicomponent liquid mixtures

Published: 14 Jun 2018 | Version 1 | DOI: 10.17632/jxm7p8g2gf.1
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Description of this data

Prediction of viscosity has been carried out for binary , ternary and higher order liquid mixtures using a new appoach.

Experiment data files

peer reviewed

This data is associated with the following peer reviewed publication:

A novel and effective approach for viscosity prediction of binary and multicomponent liquid mixtures

Published in: Journal of Molecular Liquids

Latest version

  • Version 1

    2018-06-14

    Published: 2018-06-14

    DOI: 10.17632/jxm7p8g2gf.1

    Cite this dataset

    Dey, Ranjan; Biswas, Piyashi (2018), “Data for: A novel and effective approach for viscosity prediction of binary and multicomponent liquid mixtures”, Mendeley Data, v1 http://dx.doi.org/10.17632/jxm7p8g2gf.1

Categories

Viscosity

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Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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