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PUBLICATIONS

An efficient way of visualization of mutual solubility data in the whole range of compositions

Published

Author(s)

Vladimir Diky

Abstract

N/A
Citation
Journal of Chemical and Engineering Data
Volume
62
Pub Type
Journals

Download Paper

https://doi.org/10.1021/acs.jced.7b00174
Local Download

Keywords

N/A
Thermodynamics

Citation

Diky, V. (2017), An efficient way of visualization of mutual solubility data in the whole range of compositions, Journal of Chemical and Engineering Data, [online], https://doi.org/10.1021/acs.jced.7b00174, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=922808 (Accessed October 10, 2025)

Issues

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Created April 27, 2017, Updated December 13, 2021
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