Abstract:Heterogeneous relaxation dynamics often characterizes deep eutectic solvents. Extensive and molecular dynamics simulations have been carried out in the temperature range, 303 ≤ T/K ≤ 370, for studying the anion and temperature dependencies of heterogeneous dynamics of three different ionic acetamide deep eutectics: acetamide + LiX, X being bromide (Br−), nitrate (NO3−), and perchlorate (ClO4−). These systems are chosen because the fractional viscosity dependence of average relaxation rates reported by various … Show more
“…Our analyses of RDFs have also depicted that the anions can interact simultaneously with acetamide and Li + leading to the complexities in these mixtures. 95,97 The monodentate anion Br − interacts in a completely different way than the tridentate planar NO 3 − . ClO 4 − being tetrahedral has one more interacting site, but its bigger size introduces some excluded-volume effect.…”
Section: Resultsmentioning
confidence: 99%
“…Also, note that the structural heterogeneity of these mixtures has already been examined previously. 95,97 We investigated the structural heterogeneity part by a simulation of radial distribution functions and cluster size distributions among various interspecies. Although we did not calculate any order parameter 98 to quantify the structural heterogeneity, our analyses provided a molecular-level detailed description of the structural heterogeneity aspect.…”
Section: Resultsmentioning
confidence: 99%
“…This is understandable because the present measurements have employed a frequency window (0.2 ≤ ν (GHz) ≤ 50) that does not allow a detection of dynamics possessing sub-picosecond and multi-nanosecond relaxation time scales. It should also be recognized that the slow multi-nanosecond time scales in decays could arise from the use of the optimized potentials for liquid simulations–united atom (OPLS-UA) model potential itself because the translational diffusion coefficient predicted for neat molten acetamide by using the OPLS-UA force-field parameters has been found to be ∼5 times smaller than that predicted by the CHARMM force-field parameters. − In addition, temperature-dependent translational diffusion coefficients of acetamide in perchlorate and nitrate DESs reported by quasi-elastic neutron-scattering measurements are ∼4–30 times greater than those predicted for acetamide in these ionic DESs by the OPLS-UA potential parameters , (see Table S6, Supporting Information). This comparison indicates that the multi-nanosecond component predicted for decays by the OPLS-UA potential parameters is probably slower than what it should have been (particularly at lower temperatures), and one should exercise sufficient care in considering them for interpreting the experimental relaxation dynamics.…”
“…Our analyses of RDFs have also depicted that the anions can interact simultaneously with acetamide and Li + leading to the complexities in these mixtures. 95,97 The monodentate anion Br − interacts in a completely different way than the tridentate planar NO 3 − . ClO 4 − being tetrahedral has one more interacting site, but its bigger size introduces some excluded-volume effect.…”
Section: Resultsmentioning
confidence: 99%
“…Also, note that the structural heterogeneity of these mixtures has already been examined previously. 95,97 We investigated the structural heterogeneity part by a simulation of radial distribution functions and cluster size distributions among various interspecies. Although we did not calculate any order parameter 98 to quantify the structural heterogeneity, our analyses provided a molecular-level detailed description of the structural heterogeneity aspect.…”
Section: Resultsmentioning
confidence: 99%
“…This is understandable because the present measurements have employed a frequency window (0.2 ≤ ν (GHz) ≤ 50) that does not allow a detection of dynamics possessing sub-picosecond and multi-nanosecond relaxation time scales. It should also be recognized that the slow multi-nanosecond time scales in decays could arise from the use of the optimized potentials for liquid simulations–united atom (OPLS-UA) model potential itself because the translational diffusion coefficient predicted for neat molten acetamide by using the OPLS-UA force-field parameters has been found to be ∼5 times smaller than that predicted by the CHARMM force-field parameters. − In addition, temperature-dependent translational diffusion coefficients of acetamide in perchlorate and nitrate DESs reported by quasi-elastic neutron-scattering measurements are ∼4–30 times greater than those predicted for acetamide in these ionic DESs by the OPLS-UA potential parameters , (see Table S6, Supporting Information). This comparison indicates that the multi-nanosecond component predicted for decays by the OPLS-UA potential parameters is probably slower than what it should have been (particularly at lower temperatures), and one should exercise sufficient care in considering them for interpreting the experimental relaxation dynamics.…”
“…Biswas et al [ 243 , 244 ] performed MD microstructure simulations for a number of Li salts (Li + , Br − , NO 3 − , ClO 4 − ) and acetamide to identify the solution-phase microstructures in these media, and investigated the anion and temperature dependence of these microstructures. The authors showed that the presence of heterogeneity arises from the balance of the interactions between the various species.…”
Section: Main Directions Of Investigationsmentioning
Deep eutectic solvents (DESs) are one of the most rapidly evolving types of solvents, appearing in a broad range of applications, such as nanotechnology, electrochemistry, biomass transformation, pharmaceuticals, membrane technology, biocomposite development, modern 3D-printing, and many others. The range of their applicability continues to expand, which demands the development of new DESs with improved properties. To do so requires an understanding of the fundamental relationship between the structure and properties of DESs. Computer simulation and machine learning techniques provide a fruitful approach as they can predict and reveal physical mechanisms and readily be linked to experiments. This review is devoted to the computational research of DESs and describes technical features of DES simulations and the corresponding perspectives on various DES applications. The aim is to demonstrate the current frontiers of computational research of DESs and discuss future perspectives.
“…Biswas et al [224,225] performed MD microstructure simulations for a number of Li salts (Li + , Br − , NO −3 , ClO −4 ) and acetamide to identify the solution-phase microstructures in these media, and investigated the anion and temperature dependence of these microstructures. The authors showed that the presence of heterogeneity arises from the balance of the interactions between the various species.…”
Deep eutectic solvents (DESs) are one of the most rapidly evolving types of solvents, appearing in a broad range of applications such as nanotechnology, electrochemistry, biomass transformation, pharmaceuticals, membrane technology, biocomposite development, modern 3D-printing, and many others. The range of their applicability continues to expand, which demands the development of new DESs with improved properties. To do so requires an understanding of the fundamental relationship between the structure and properties of DESs. Computer simulation and machine learning techniques provide a fruitful approach as they can provide predictions, reveal physical mechanisms and readily be linked to experiments. This review is devoted to the computational research of DESs and describes technical features of DES simulations and the corresponding perspectives on various DES applications. The aim is to demonstrate the current frontiers of computational research of DESs and discuss future perspectives.
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