Vote for your favorite mineral in #MinCup25! - Topaz vs. Kyanite
It's a battle of high-pressure colourful beauties of #topaz vs #kyanite. Which can stand the heat of round 1?
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Xu, Xinmeng, Range, Jan, Gygli, Gudrun, Pleiss, Jürgen (2020) Analysis of Thermophysical Properties of Deep Eutectic Solvents by Data Integration. Journal of Chemical & Engineering Data, 65 (3) 1172-1179 doi:10.1021/acs.jced.9b00555

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleAnalysis of Thermophysical Properties of Deep Eutectic Solvents by Data Integration
JournalJournal of Chemical & Engineering Data
AuthorsXu, XinmengAuthor
Range, JanAuthor
Gygli, GudrunAuthor
Pleiss, JürgenAuthor
Year2020 (March 12)Volume65
Issue3
PublisherAmerican Chemical Society (ACS)
DOIdoi:10.1021/acs.jced.9b00555Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID14565536Long-form Identifiermindat:1:5:14565536:7
GUID0
Full ReferenceXu, Xinmeng, Range, Jan, Gygli, Gudrun, Pleiss, Jürgen (2020) Analysis of Thermophysical Properties of Deep Eutectic Solvents by Data Integration. Journal of Chemical & Engineering Data, 65 (3) 1172-1179 doi:10.1021/acs.jced.9b00555
Plain TextXu, Xinmeng, Range, Jan, Gygli, Gudrun, Pleiss, Jürgen (2020) Analysis of Thermophysical Properties of Deep Eutectic Solvents by Data Integration. Journal of Chemical & Engineering Data, 65 (3) 1172-1179 doi:10.1021/acs.jced.9b00555
In(2020, March) Journal of Chemical & Engineering Data Vol. 65 (3) American Chemical Society (ACS)

See Also

These are possibly similar items as determined by title/reference text matching only.

Xu, Xinmeng, Range, Jan, Gygli, Gudrun, Pleiss, Juergen (2020) Correction to “Analysis of Thermophysical Properties of Deep Eutectic Solvents by Data Integration”. Journal of Chemical & Engineering Data, 65 (8) 4173 doi:10.1021/acs.jced.0c00620
Gültig, Matthias, Range, Jan P., Schmitz, Benjamin, Pleiss, Jürgen (2022) Integration of Simulated and Experimentally Determined Thermophysical Properties of Aqueous Mixtures by ThermoML. Journal of Chemical & Engineering Data, 67 (11) 3340-3350 doi:10.1021/acs.jced.2c00391
Gutiérrez, Alberto, Atilhan, Mert, Aparicio, Santiago (2020) Behavior of Antibiotics in Natural Deep Eutectic Solvents. Journal of Chemical & Engineering Data, 65 (9) 4669-4683 doi:10.1021/acs.jced.0c00519
González de Castilla, Andrés, Bittner, Jan Philipp, Müller, Simon, Jakobtorweihen, Sven, Smirnova, Irina (2020) Thermodynamic and Transport Properties Modeling of Deep Eutectic Solvents: A Review on gE-Models, Equations of State, and Molecular Dynamics. Journal of Chemical & Engineering Data, 65 (3) 943-967 doi:10.1021/acs.jced.9b00548
Jung, Myeongjin, Park, YoonKook (2022) Thermophysical Properties and Liquid–Liquid Equilibria of Pseudoternary Systems {Toluene + n-Heptane + Deep Eutectic Solvents Based on Levulinic Acid}. Journal of Chemical & Engineering Data, 67 (2) 416-427 doi:10.1021/acs.jced.1c00733
Dietz, Carin H. J. T., Kroon, Maaike C., van Sint Annaland, Martin, Gallucci, Fausto (2017) Thermophysical Properties and Solubility of Different Sugar-Derived Molecules in Deep Eutectic Solvents. Journal of Chemical & Engineering Data, 62 (11) 3633-3641 doi:10.1021/acs.jced.7b00184
Dwamena, Amos K., Raynie, Douglas E. (2020) Solvatochromic Parameters of Deep Eutectic Solvents: Effect of Different Carboxylic Acids as Hydrogen Bond Donor. Journal of Chemical & Engineering Data, 65 (2) 640-646 doi:10.1021/acs.jced.9b00872
Deng, Xiaoxia, Duan, Xiuzhi, Gong, Lei, Deng, Dongshun (2020) Ammonia Solubility, Density, and Viscosity of Choline Chloride–Dihydric Alcohol Deep Eutectic Solvents. Journal of Chemical & Engineering Data, 65 (10) 4845-4854 doi:10.1021/acs.jced.0c00386
Taherzadeh, Mehrdad, Haghbakhsh, Reza, Duarte, Ana Rita C., Raeissi, Sona (2020) Generalized Model to Estimate the Refractive Indices of Deep Eutectic Solvents. Journal of Chemical & Engineering Data, 65 (8) 3965-3976 doi:10.1021/acs.jced.0c00308
Gholami, Sahar, Roosta, Aliakbar (2020) Experimental Study and Modeling of Bubble Point of Aqueous Mixtures of Deep Eutectic Solvents Based on Dicarboxylic Acids and Choline Chloride. Journal of Chemical & Engineering Data, 65 (5) 2743-2750 doi:10.1021/acs.jced.0c00070
Gygli, Gudrun, Pleiss, Juergen (2020) Simulation Foundry: Automated and F.A.I.R. Molecular Modeling. Journal of Chemical Information and Modeling, 60 (4) 1922-1927 doi:10.1021/acs.jcim.0c00018
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 13, 2025 14:36:03
Go to top of page