2010
DOI: 10.1134/s0965545x10020136
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Nanoscale morphology in sulphonated poly(Ether ether ketone)-based ionomeric membranes: Mesoscale simulations

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Cited by 12 publications
(7 citation statements)
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“…[91] We used simulation protocols developed by us earlier for these purposes. [92][93][94] As shown in Table 1, the accuracy of predictions of solubility parameters using semiempirical methods in most cases is in good agreement with the results obtained using the MD method.…”
Section: Interaction Parameterssupporting
confidence: 76%
“…[91] We used simulation protocols developed by us earlier for these purposes. [92][93][94] As shown in Table 1, the accuracy of predictions of solubility parameters using semiempirical methods in most cases is in good agreement with the results obtained using the MD method.…”
Section: Interaction Parameterssupporting
confidence: 76%
“…The influence of other factors on PEM morphology, such as water content, temperature, methanol concentration, and electric field, has been investigated. Mesoscale simulation of the proton-conducting membrane based on SPEEK shows that the microphase separation of hydrophilic and hydrophobic polymer chain units occurs even at small water contents . With an increase in methanol concentration, an increased solvent cluster size was observed in the hydrated Nafion .…”
Section: Introductionmentioning
confidence: 97%
“…However, the size of the simulated system was insufficient to analyze the cluster network morphology. As the atomistic and united-atom force fields were established and computational facilities grew, MD simulations became able to handle systems substantially larger than the size of individual hydrophilic aggregates and started to tackle the problems of the membrane segregation morphology and water transport in perfluorinated and other ionomers. Generally, atomistic simulations produced a qualitatively evident picture of individual water clusters that coalesce and form a continuous water cluster network as hydration increases. Even with modern computers, computational expenses severely limit the spatial and temporal scales of PEM simulations.…”
Section: Introductionmentioning
confidence: 99%