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Abstract
Deep eutectic solvents (DESs) are an emerging class of non-aqueous solvents that are potentially scalable, easy to prepare and functionalize for many applications ranging from biomass processing to energy storage technologies. Predictive understanding of the fundamental correlations between local structure and macroscopic properties is needed to exploit the large design space and tunability of DESs for specific applications. Here, we employ a range of computational and experimental techniques that span length-scales from molecular to macroscopic and timescales from picoseconds to seconds to study the evolution of structure and dynamics in model DESs, namely Glyceline and Ethaline, starting from the parent compounds. We show that systematic addition of choline chloride leads to microscopic heterogeneities that alter the primary structural relaxation in glycerol and ethylene glycol and result in new dynamic modes that are strongly correlated to the macroscopic properties of the DES formed.
Tailoring the macroscopic properties of deep eutectic solvents requires knowing how these depend on the local structure and microscopic dynamics. The authors, with computational and experimental tools spanning a wide range of space- and timescales, shed light into the relationship between micro and macroscopic properties in glyceline and ethaline.
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1 University of Tennessee, Department of Chemical and Biomolecular Engineering, Knoxville, USA (GRID:grid.411461.7) (ISNI:0000 0001 2315 1184)
2 University of Notre Dame, Department of Chemical and Biomolecular Engineering, Notre Dame, USA (GRID:grid.131063.6) (ISNI:0000 0001 2168 0066)
3 New York University, Department of Chemistry, New York, USA (GRID:grid.137628.9) (ISNI:0000 0004 1936 8753)
4 Case Western Reserve University, Department of Chemistry, Cleveland, USA (GRID:grid.67105.35) (ISNI:0000 0001 2164 3847)
5 University of Tennessee, Department of Materials Science and Engineering, Knoxville, USA (GRID:grid.411461.7) (ISNI:0000 0001 2315 1184); Oak Ridge National Laboratory, Neutron Sciences Division, Oak Ridge, USA (GRID:grid.135519.a) (ISNI:0000 0004 0446 2659)
6 University of Tennessee, Department of Chemistry, Knoxville, USA (GRID:grid.411461.7) (ISNI:0000 0001 2315 1184)
7 Case Western Reserve University, Department of Chemical and Biomolecular Engineering, Cleveland, USA (GRID:grid.67105.35) (ISNI:0000 0001 2164 3847)
8 University of Tennessee Southern, School of Mathematics and Sciences, Pulaski, USA (GRID:grid.462503.6) (ISNI:0000 0004 0588 5477)
9 Hunter College, Department of Physics and Astronomy, New York, USA (GRID:grid.257167.0) (ISNI:0000 0001 2183 6649)
10 NIST Center for Neutron Research, Gaithersburg, USA (GRID:grid.507868.4) (ISNI:0000 0001 2224 3976); University of Maryland, Department of Materials Science and Engineering, College Park, USA (GRID:grid.164295.d) (ISNI:0000 0001 0941 7177)
11 Beihang University, School of Materials Science and Engineering, Beijing, China (GRID:grid.64939.31) (ISNI:0000 0000 9999 1211)
12 New York University, Department of Chemistry, New York, USA (GRID:grid.137628.9) (ISNI:0000 0004 1936 8753); New York University, Courant Institute of Mathematical Science, New York, USA (GRID:grid.137628.9) (ISNI:0000 0004 1936 8753); NYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai, China (GRID:grid.449457.f) (ISNI:0000 0004 5376 0118)
13 University of Tennessee, Department of Chemistry, Knoxville, USA (GRID:grid.411461.7) (ISNI:0000 0001 2315 1184); Oak Ridge National Laboratory, Chemical Sciences Division, Oak Ridge, USA (GRID:grid.135519.a) (ISNI:0000 0004 0446 2659)