Studying long-time dynamics of imidazolium-based ionic liquids with a systematically coarse-grained model
Literature Information
Hossein Ali Karimi-Varzaneh, Florian Müller-Plathe, Sundaram Balasubramanian, Paola Carbone
A coarse-grained ionic liquid model has been developed to investigate the structure and dynamic properties of 1-n-alkyl-3-methylimidazolium hexafluorophosphate [Cnmim][PF6] ionic liquids with alkyl chains up to ten carbon atoms. Two mapping schemes are compared, showing that different ways of grouping the atoms into coarse-grained beads affect differently the structure and dynamics of the liquid. The simulations predict that upon increasing the length of the alkyl tail the diffusion coefficients of the cations expectedly decrease while the anion diffusion becomes slightly faster. Moreover, the reduced dynamic heterogeneity of the liquids at low temperature is due to a decrease in the number of the slow particles only. At the timescale where the models show their highest dynamic heterogeneity, the cross-over displacement, after which part of the anions show fast dynamics, is consistently higher in C10 than in C4 and it is higher than the one found for the cations. This suggests that the cages in which the anions are trapped (at this time scale) are larger in [C10mim][PF6] than in [C4mim][PF6]. For the cations, the cross-over displacement has almost the same value for [C4mim][PF6] and [C10mim][PF6].
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.


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