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Voronoi Tessellation as a Tool for Predicting the Formation of Deep Eutectic Solvents

Articolo
Data di Pubblicazione:
2024
Abstract:
Deep eutectic solvents (DESs) have attracted increasing attention in recent years due to their broad applicability in different fields, but their computer-aided discovery, which avoids a time-consuming trial-and-error investigation, is still lagging. In this paper, a set of nine DESs, composed of choline chloride as a hydrogen-bond acceptor and nine functionalized phenols as hydrogen bond donors, is simulated by using classical molecular dynamics to investigate the possible formation of a DES. The tool of the Voronoi tessellation analysis is employed for producing an intuitive and straightforward representation of the degree of mixing between the different components of the solutions, therefore permitting the definition of a metric quantifying the propensity of the components to produce a uniform solution. The computational findings agree with the experimental results, thus confirming that the Voronoi tessellation analysis can act as a lightweight yet powerful approach for the high-throughput screening of mixtures in the optics of the new DES design.
Tipologia CRIS:
03A-Articolo su Rivista
Keywords:
deep eutectic solvents
Elenco autori:
Cappelluti, Francesco; Gontrani, Lorenzo; Mariani, Alessandro; Galliano, Simone; Carbone, Marilena; Bonomo, Matteo
Autori di Ateneo:
GALLIANO Simone
Link alla scheda completa:
https://iris.unito.it/handle/2318/2028792
Link al Full Text:
https://iris.unito.it/retrieve/handle/2318/2028792/1407005/VeroVoronoi_LG_20230817_0054_MB.docx
Pubblicato in:
JOURNAL OF CHEMICAL INFORMATION AND MODELING
Journal
Progetto:
Green Electrolyte and Biomass-derived Electrodes for Sustainable Electrochemical Storage Devices - Finanziamento dell’Unione Europea – NextGenerationEU – missione 4, componente 2, investimento 1.1.
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Aree Di Ricerca

Settori (5)


PE11_14 - Computational methods for materials engineering - (2024)

PE4_13 - Theoretical and computational chemistry - (2024)

INFORMATICA, AUTOMAZIONE e INTELLIGENZA ARTIFICIALE - Informatica per la Chimica

PIANETA TERRA, AMBIENTE, CLIMA, ENERGIA e SOSTENIBILITA' - Energia e Fonti Energetiche

SCIENZE MATEMATICHE, CHIMICHE, FISICHE - Materiali Avanzati
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