Supplementary data for the article "Predicting liquid-liquid phase separation in ternary organic-organic-water mixtures"

Hyttinen, Noora. (2023). Supplementary data for the article "Predicting liquid-liquid phase separation in ternary organic-organic-water mixtures". University of Jyväskylä. https://doi.org/10.17011/jyx/dataset/86223.

All authors: Hyttinen, Noora

Funders: Research Council of Finland

Right-holders: 

Availability and identifiers

Availability: Direct download

Publication year: 2023

URN identifier in original repository: http://urn.fi/URN:NBN:fi:jyu-202304032358

DOI identifier in original repository: https://doi.org/10.17011/jyx/dataset/86223

URN identifier in JYX: http://urn.fi/URN:NBN:fi:jyu-202304032358

DOI identifier in JYX: https://doi.org/10.17011/jyx/dataset/86223

Description of the dataset

Description: The data set contains the supplementary data of the article "Predicting liquid-liquid phase separation in ternary organic-organic-water mixtures" published in Phys. Chem. Chem. Phys. The data includes cosmo-files used in the COSMOtherm calculations of the article.

Language: English

Free keywords: COSMO-RS, COSMOtherm

Keywords (YSO): atmospheric sciences; atmospheric chemistry; aerosol physics

Fields of science: 116 Chemical sciences

Follow-up groups: Nanoscience Center (Department of Physics PHYS, JYFL) (Faculty of Mathematics and Science) (Department of Chemistry CHEM) (Department of Biological and Environmental Science BIOENV) NSC

Profiling area: Nanoscience Center (Department of Physics PHYS, JYFL) (Faculty of Mathematics and Science) (Department of Chemistry CHEM) (Department of Biological and Environmental Science BIOENV) NSC

Do you deal with data concerning special categories of personal data in your research?: No

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