Structure and Dynamics of Polymeric Canopies in Nanoscale Ionic Materials: An Electrical Double Layer Perspective

Zhou Yu, Fengchang Yang, Sheng Dai, Rui Qiao

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

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 languageEnglish
Article number5191
JournalScientific Reports
Volume8
Issue number1
DOIs
StatePublished - 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.

FundersFunder number
University Library at Virginia Tech
National Science FoundationCBET1461842
Directorate for Engineering1461842
Office of Science
Appalachian Regional Commission
Chemical Sciences, Geosciences, and Biosciences Division
Norsk Sykepleierforbund

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