Abstract
Polymers incorporating cobaltocenium groups have received attention as promising components of anion-exchange membranes (AEMs), exhibiting a good balance of chemical stability and high ionic conductivity. In this work, we analyze the hydroxide diffusion in the presence of cobaltocenium cations in an aqueous environment based on the molecular dynamics of model systems confined in one dimension to mimic the AEM channels. In order to describe the proton hopping mechanism, the forces are obtained from the electronic structure computed at the density-functional tight-binding level. We find that the hydroxide diffusion depends on the channel size, modulation of the electrostatic interactions by the solvation shell, and its rearrangement ability. Hydroxide diffusion proceeds via both the vehicular and structural diffusion mechanisms with the latter playing a larger role at low diffusion coefficients. The highest diffusion coefficient is observed under moderate water densities (around half the density of liquid water) when there are enough water molecules to form the solvation shell, reducing the electrostatic interaction between ions, yet there is enough space for the water rearrangements during the proton hopping. The effects of cobaltocenium separation, orientation, chemical modifications, and the role of nuclear quantum effects are also discussed.
Original language | English |
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Pages (from-to) | 10129-10141 |
Number of pages | 13 |
Journal | Journal of Physical Chemistry B |
Volume | 127 |
Issue number | 47 |
DOIs | |
State | Published - Nov 30 2023 |
Funding
This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences Separation Science program under award number DE-SC0020272 and upon work partially supported by the National Science Foundation under grant no. OIA-1655740 and by a GEAR award (Q.W.) from the SC EPSCoR/IDeA program. Additional support comes from the National Science Foundation (CHE-1955768 and CHE-2308922) (S.G.). We acknowledge the computational resources of the ACCESS (Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support) program available through allocation TG-DMR110037. This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The publisher acknowledges the US government license to provide public access under the DOE Public Access Plan ( https://energy.gov/doe-publicaccess-plan ).
Funders | Funder number |
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GEAR | DE-AC05-00OR22725, CHE-2308922, CHE-1955768 |
Office of Basic Energy Sciences Separation Science program | DE-SC0020272 |
National Science Foundation | OIA-1655740 |
U.S. Department of Energy | |
Office of Science |