Theoretically computed proton diffusion coefficients in hydrated PEEKK membranes

文献信息

发布日期 2002-02-28
DOI 10.1039/B109791A
影响因子 3.676
作者

Stephen J. Paddison, Reginald Paul, Klaus-Dieter Kreuer


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摘要

A recently derived molecular structure–function model based on non-equilibrium statistical mechanics has been used to compute proton friction and diffusion coefficients in 65% sulfonated PEEKK membranes at various degrees of hydration. Morphological parameters, taken from recent SAXS measurements, including pore radius and average separation distance of the sulfonate fixed sites within the pore, along with results from electronic structure explicit water calculations for para-toluene sulfonic acid, were used as input parameters in the model. For membranes where the hydration levels (λ) were 15, 23, and 30 H2O's/SO3−, the model predicted proton diffusion coefficients of 4.13 × 10−10, 1.23 × 10−9, and 1.54 × 10−9 m2 s−1, respectively. These values were obtained without any attempt at fitting to the results obtained from pulsed-field gradient NMR experiments. These computed diffusion coefficients are all within approximately 15% of the measured values; demonstrating the substantial predictive capability of the model. Furthermore, this investigation has shown that at the lower water content (λ = 15) the transport of the proton may be adequately described as vehicular in nature, while at the two higher water contents (λ = 23, 30) there is a contribution via structural diffusion.

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来源期刊

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
自引率: 10.3%
年发文量: 3036

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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