Public Data Resource

Experimental data sets for viscosity and surface tension of binary mixtures at the temperatures (293.15 to 323.15) K and the pressures (99.325 to 103.325) kPa

Contact: Andrei F. Kazakov..

Identifier: doi:10.18434/mds2-2962

Described in this article:

Machine learning for predicting the viscosity of binary liquid mixtures

Version: 1.0 First Released: 2023-03-23 Revised: 2023-03-23

Description

This is a research data set extracted from NIST Standard Reference Database 103b and contains raw experimental data for viscosity and surface tension of binary mixtures.

Research Topics: Chemistry: Chemical thermodynamics and chemical properties

Subject Keywords: viscosity, surface tension, binary mixtures

Data Access

These data are public.

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References

Bilodeau, C., Kazakov, A., Mukhopadhyay, S., Emerson, J., Kalantar, T., Muzny, C., & Jensen, K. (2023). Machine learning for predicting the viscosity of binary liquid mixtures. Chemical Engineering Journal, 142454. https://doi.org/10.1016/j.cej.2023.142454

About This Dataset

Version: 1.0 First Released: 2023-03-23 Revised: 2023-03-23

Cite this dataset

Andrei F. Kazakov (2022), Experimental data sets for viscosity and surface tension of binary mixtures at the temperatures (293.15 to 323.15) K and the pressures (99.325 to 103.325) kPa, National Institute of Standards and Technology, https://doi.org/10.18434/mds2-2962 (Accessed 2023-10-02)

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