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  4. Thermodynamic and transport properties modeling of deep eutectic solvents: a review on gE-models, equations of state, and molecular dynamics
 
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Thermodynamic and transport properties modeling of deep eutectic solvents: a review on gE-models, equations of state, and molecular dynamics

Citation Link: https://doi.org/10.15480/882.9694
Publikationstyp
Journal Article
Date Issued
2020
Sprache
English
Author(s)
González de Castilla, Andrés 
Bittner, Jan Philipp  orcid-logo
Müller, Simon  orcid-logo
Jakobtorweihen, Sven  
Smirnova, Irina  orcid-logo
Institut
Thermische Verfahrenstechnik V-8  
TORE-DOI
10.15480/882.9694
TORE-URI
http://hdl.handle.net/11420/4275
Journal
Journal of chemical & engineering data  
Volume
65
Issue
3
Start Page
943-967
End Page
943-967
Citation
Journal of Chemical and Engineering Data 3 (65): 943-967 (2020)
Publisher DOI
10.1021/acs.jced.9b00548
Scopus ID
2-s2.0-85072978330
Publisher
American Chemical Society
Deep eutectic solvents (DESs) have gained attention in recent years as attractive alternatives to traditional solvents. There is a growing number of publications dealing with the thermodynamic modeling of DESs highlighting the importance of modeling the solutions' properties. In this review, we summarize the state-of-the-art in DES modeling as well as its current challenges. We also summarize the various modeling approaches to phase equilibria and properties of DESs with gE-models, equations of state (EOS), and molecular dynamics (MD) simulations. Most of the current gE-model and EOS-based approaches handle DESs as pseudocomponents in order to simplify the parametrizations and calculation strategies. However, for the models to become more transferable and predictive, it would be preferable to model the individual DES constituents instead of modeling it as pseudocomponent. This implies that validation with more detailed experimental data that includes the distribution of the DES components is also required. MD simulations, in contrast to gE-models and EOS, are capable of providing information about the liquid structure and can predict dynamic properties, although the latter quantities still show some imprecisions. Therefore, insights into the liquid structure of DES systems from MD could also aid in improving present modeling strategies in addition to allowing a better understanding. Finally, the latest developments for DES force fields are discussed as the quality of the applied force fields determines the results of the MD simulations.
DDC Class
000: Allgemeines, Wissenschaft
Publication version
acceptedVersion
Lizenz
https://creativecommons.org/licenses/by-nc-nd/4.0/
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10.1021_acs.jced.9b00548-Accepted_Manuscript-1.pdf

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