Abstract
Nanoscale ionic materials (NIMs) are an emerging class of materials consisting of charged nanoparticles and polymeric canopies attaching to them dynamically by electrostatic interactions. Using molecular simulations, we examine the structure and dynamics of the polymeric canopies in model NIMs in which the canopy thickness is much smaller than the nanoparticle diameter. Without added electrolyte ions, the charged terminal groups of polymers adsorb strongly on charged walls, thereby electrostatically "grafting" polymers to the wall. These polymers are highly stretched. They rarely desorb from the wall, but maintain modest in-plane mobility. When electrolyte ion pairs are introduced, the counterions adsorb on the wall, causing some electrostatically "grafted" polymers to desorb. The desorbed polymers, however, are less than the adsorbed counter-ions, which leads to an overscreening of wall charges. The desorbed polymers' charged terminal groups do not distribute uniformly across the canopy but are depleted in some regions; they adopt conformation similar to those in bulk and exchange with the "grafted" polymers rapidly, hence dilating the canopy and accelerating its dynamics. We understand these results by taking the canopy as an electrical double layer, and highlight the importance of the interplay of electrostatic and entropic effects in determining its structure and dynamics.
Original language | English |
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Article number | 5191 |
Journal | Scientific Reports |
Volume | 8 |
Issue number | 1 |
DOIs | |
State | Published - Dec 1 2018 |
Funding
We thank the ARC at Virginia Tech for allocations of computer time on the BlueRidge, NewRiver, and Cascade clusters. R.Q. gratefully acknowledges the support from NSF (CBET1461842). S.D. was supported by the US-DOE Office of Science, Division of Chemical Sciences, Geosciences and Biosciences. We thank the University Library at Virginia Tech for publication support through the open access subvention fund. We thank the ARC at Virginia Tech for allocations of computer time on the BlueRidge, NewRiver, and Cascade clusters. R.Q. gratefully acknowledges the support from NSF (CBET1461842). S.D. was supported by the USDOE Office of Science, Division of Chemical Sciences, Geosciences and Biosciences. We thank the University Library at Virginia Tech for publication support through the open access subvention fund.
Funders | Funder number |
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University Library at Virginia Tech | |
National Science Foundation | CBET1461842 |
Directorate for Engineering | 1461842 |
Office of Science | |
Appalachian Regional Commission | |
Chemical Sciences, Geosciences, and Biosciences Division | |
Norsk Sykepleierforbund |