Ionic liquids under confinement: From systematic variations of the ion and pore sizes towards an understanding of structure and dynamics in complex porous carbons
arXiv:2002.08613 · doi:10.1021/acsami.9b16740
Abstract
We use molecular simulations of an ionic liquid in contact with a range of nanoporous carbons to investigate correlations between ion size, pore size, pore topology and properties of the adsorbed ions. We show that diffusion coefficients increase with the anion size and, surprisingly, with the quantity of adsorbed ions. Both findings are interpreted in terms of confinement: when the in-pore population increases additional ions are located in less confined sites and diffuse faster. Simulations in which the pores are enlarged while keeping the topology constant comfort these observations. The interpretation of properties across structures is more challenging. An interesting point is that smaller pores do not necessarily lead to larger confinement. In this work, the highest degrees of confinements are observed for intermediate pore sizes. We also show a correlation between the quantity of adsorbed ions and the ratio between the maximum pore diameter and the pore limiting diameter.
arXiv commentThis document is the unedited Author's version of a Submitted Work that was subsequently accepted for publication in ACS Applied Materials and Interfaces, copyright ©American Chemical Society after peer review. To access the final edited and published work see https://pubs.acs.org/doi/10.1021/acsami.9b16740
References in corpus (7)
- Machine-learning based interatomic potential for amorphous carbon
- Superionic state in double-layer capacitors with nanoporous electrodes
- Pore-geometry recognition: on the importance of quantifying similarity in nanoporous materials
- Polarizability Versus Mobility: Atomistic Force Field for Ionic Liquids
- Underscreening in concentrated electrolytes
- Computer simulations of ionic liquids at electrochemical interfaces
- Capacitance of Nanoporous Carbon-Based Supercapacitors is a Trade-Off Between the Concentration and the Separability of the Ions
Cited by in corpus (4)
- Machine learning driven simulated deposition of carbon films: from low-density to diamondlike amorphous carbon
- Carbon-carbon supercapacitors: Beyond the average pore size or how electrolyte confinement and inaccessible pores affect the capacitance
- Machine learning based modeling of disordered elemental semiconductors: understanding the atomic structure of a-Si and a-C
- On the effect of surface functional groups on the structural and dynamical properties of an ionic liquid confined in zeolite templated carbons studied through molecular simulations