2008
DOI: 10.1021/jp7121449
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Molecular Dynamics Simulations of Electroosmosis in Perfluorosulfonic Acid Polymer

Abstract: An atomistic MD simulation method has been developed to study the electroosmotic drag in the hydrated perfluorosulfonic acid polymer. The transport characteristics of the hydroniums and water molecules are evaluated from their velocity distribution functions with an electric field applied. It is shown that the microstructure of the hydrated perfluorosulfonic acid polymer is not perturbed significantly by the electric field up to 2 V/microm, and the velocity distribution functions obey the peak shifted Maxwell … Show more

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Cited by 24 publications
(43 citation statements)
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“…Mabuchi and Tokumasu, Mechanical Engineering Journal, Vol.4, No.5 (2017) [DOI: 10.1299/mej.17-00054] Figure 7 shows K drag in the 1100 EW membrane for each λ and the results are compared with the available experimental values in Nafion 117 (~1100 EW) membranes (Fuller and Newman, 1992, Ise et al, 1999, Ren and Gottesfeld, 2001, Zawodzinski et al, 1995, Zawodzinski et al, 1993. The results are in good agreement with the experimental data in comparison with the previous K drag prediction of ~6.0 at λ = 20 using the classical hydronium cation model, which is about 2.5 times greater than the experimental data (Yan et al, 2008). This suggests the importance of incorporating the Grotthuss contribution to the dynamics of protons to estimate K drag accurately.…”
Section: Electroosmosis Propertiessupporting
confidence: 69%
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“…Mabuchi and Tokumasu, Mechanical Engineering Journal, Vol.4, No.5 (2017) [DOI: 10.1299/mej.17-00054] Figure 7 shows K drag in the 1100 EW membrane for each λ and the results are compared with the available experimental values in Nafion 117 (~1100 EW) membranes (Fuller and Newman, 1992, Ise et al, 1999, Ren and Gottesfeld, 2001, Zawodzinski et al, 1995, Zawodzinski et al, 1993. The results are in good agreement with the experimental data in comparison with the previous K drag prediction of ~6.0 at λ = 20 using the classical hydronium cation model, which is about 2.5 times greater than the experimental data (Yan et al, 2008). This suggests the importance of incorporating the Grotthuss contribution to the dynamics of protons to estimate K drag accurately.…”
Section: Electroosmosis Propertiessupporting
confidence: 69%
“…Furthermore, most MD simulation studies have employed classical hydronium cation models that do not take into account the Grotthuss mechanism, resulting in an overestimation of K drag . Yan et al (Yan et al, 2008) have studied electroosmotic drag using the classical hydronium cation model in the MD simulations and predicted a value of K drag about 2.5 times greater than the experimental data at 300 K in completely hydrated Nafion membranes. Although few studies incorporate the Grotthuss mechanism into MD simulations to develop reactive MD using, for example, empirical valence bond (EVB) approaches (Feng et al, 2012, Feng and Voth, 2011, Jorn et al, 2012, Petersen and Voth, 2006, Petersen et al, 2005, Tse et al, 2013, Seeliger et al, 2005, Spohr et al, 2002, Savage et al, 2014, they have focused only on the proton diffusion in the equilibrium polymer systems, and therefore the electroosmotic properties have not been fully understood.…”
Section: Introductionmentioning
confidence: 98%
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“…1). 26,28 This hydration degree is reasonably compared to commercial PFSA, for example, preswollen NAFION membrane (in acidic form) in contact with water has a water content as high as 22. 29 Although the Na 1 -form PFSA may have a lower water content 4,30,31 ; higher hydration is still preferred because the simulation cell is much smaller than the real hydrated membrane, and it could get a large hydrophilic subphase if higher hydration degree is employed in the MD simulation.…”
Section: The Calculation Methodsmentioning
confidence: 79%
“…26 We firstly evaluated the molecular velocity distribution functions from the trajectory file recorded during the MD simulation. And then, we fitted the molecular velocity distribution functions to the Maxwellian distribution function or the peak shifted Maxwellian distribution function.…”
Section: Introductionmentioning
confidence: 99%