2017
DOI: 10.1016/j.eurpolymj.2017.09.040
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Doping proton transport channels in poly-electrolyte membranes with high acidic site density polymers

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Cited by 5 publications
(5 citation statements)
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“…To systematically aid in elucidating general design rules in terms of the architecture of the backbones and side chains and also the chemistry of the pendant acidic or basic groups, Dorenbos and co-workers performed extensive studies on the hydrated morphology and the size and shape of ionic channels as a function of EW, hydrophilic site distribution, hydrophilic/hydrophobic side chain length and distribution, doping proton transport channels, and amphiphilic block architecture. , …”
Section: Proton Exchange Membranesmentioning
confidence: 99%
“…To systematically aid in elucidating general design rules in terms of the architecture of the backbones and side chains and also the chemistry of the pendant acidic or basic groups, Dorenbos and co-workers performed extensive studies on the hydrated morphology and the size and shape of ionic channels as a function of EW, hydrophilic site distribution, hydrophilic/hydrophobic side chain length and distribution, doping proton transport channels, and amphiphilic block architecture. , …”
Section: Proton Exchange Membranesmentioning
confidence: 99%
“…Given these challenges of unambiguously determining the morphology, theoretical approaches have been resorted to providing insight into the quantification of morphology for ion-containing membranes. Coarse grained MD and DPD simulations are widely utilized in modeling phase separations within membranes that typically requires long-time relaxation and a large length scale of 10-200 nm (Dorenbos, 2017a;Dorenbos, 2017b;Sepehr et al, 2017;Liu et al, 2018a;Dong et al, 2018b;Liu et al, 2018b;Wang R. et al, 2019;Clark et al, 2019;Dorenbos, 2019;Lee, 2019;Luo and Paddison, 2019;Zhu et al, 2019;Chen C. et al, 2020;Luo et al, 2020a;Dorenbos, 2020;Lee, 2020;Sevinis Ozbulut et al, 2020;Zhu et al, 2022). To further quantify the morphology including the size, shape, and connectivity of the ionic domains, which cannot be extracted from the peaks obtained by scattering methods, cluster analysis including distance-based and density-based algorithms is a powerful tool to provide a plethora of information on water domain size, shape, and connectivity from the trajectory of a MD or DPD simulation, which will be described in this section.…”
Section: Hydrated Pem Morphologymentioning
confidence: 99%
“…The results demonstrated that the increase in side-chain length enlarges the pore size for polymers of similar ion exchange capacity (IEC) and that the largest pore size appears in the systems with branched side-chains (Figure 4B). Meanwhile, the author investigated the effects of doping (A 2 [C]) 10 polymers with high IEC into a host polymer of A 30 (A[A 5 [AC] [AC]]) 5 with a low IEC (Dorenbos, 2017a). These results show that the clearly distinguished pore networks disappear as the ratio of dopant is increased.…”
Section: Hydrated Pem Morphologymentioning
confidence: 99%
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“…Among these mesoscale methods, DPD is most efficient due to its short-ranged soft core pair potential allowing the choice of simulation timestep larger than a picosecond . After its interaction parameters are mapped to Flory–Huggins parameters, DPD is widely applied to modeling polymeric system and has demonstrated its reliability in predicting the morphology and transport properties of hydrated copolymer or polyelectrolytes. ,, While DPD is suitable for exploring generic morphologies in terms of polymer architectures, it is hard to go beyond qualitative descriptions for the target systems whose phenomena are highly related to their chemical specifics . Although the DPD force field has been fundamentally revised by linking interaction parameters to partition coefficients , and activity coefficient , to more accurately model amphiphilic self-assemblies, the current form of DPD is not versatile enough to quantitatively capture the ion conductivity of AEM in terms of physicochemical interplay between mesoscopic membrane morphology and microscopic molecular interactions.…”
Section: Introductionmentioning
confidence: 99%