2020
DOI: 10.1016/j.polymer.2019.122114
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Blends of highly branched and linear poly(arylene ether sulfone)s: Multiscale effect of the degree of branching on the morphology and mechanical properties

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Cited by 10 publications
(7 citation statements)
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“…Poly­( l -lactide) is a widely studied T g -shape-memory polymer that has shown significant advantages including excellent biodegradability and biocompatibility and facile processability where its crystalline part has been used as a permanent physical system . In addition, shape-memory characteristics of physically cross-linked poly­( l -lactide) and its copolymers, such as poly­(lactide- co -glycolide), have been reported. ,, …”
Section: Four-dimensional Printing For Biomimetic Biofabricationmentioning
confidence: 99%
See 1 more Smart Citation
“…Poly­( l -lactide) is a widely studied T g -shape-memory polymer that has shown significant advantages including excellent biodegradability and biocompatibility and facile processability where its crystalline part has been used as a permanent physical system . In addition, shape-memory characteristics of physically cross-linked poly­( l -lactide) and its copolymers, such as poly­(lactide- co -glycolide), have been reported. ,, …”
Section: Four-dimensional Printing For Biomimetic Biofabricationmentioning
confidence: 99%
“…294 In addition, shapememory characteristics of physically cross-linked poly(L-lactide) and its copolymers, such as poly(lactide-co-glycolide), have been reported. 236,295,296 Another commonly used polymer with shape-memory characteristics is polycaprolactone, a biodegradable member of the polyester family with a relatively low T m (60 °C) and T g (−60 °C). Lorwanishpaisarn et al fabricated a novel biodegradable blend of polycaprolactone/epoxy with dual selfhealing and responsive shape-memory characteristics, indicating that the compound could be used as a coating or dual-triggered sensor for different applications, including medical devices.…”
Section: Four-dimensional Printing For Biomimetic Biofabricationmentioning
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%
“…However, additional intermolecular interactions within the blends make the prediction of properties challenging. Recently, Ozbulut et al studied the morphology of polymer blends of highly branched poly(arylene ether sulfone) (HBPAES) and linear poly(arylene ether sulfone) (LPAES) via both experiments and DPD simulations (Sevinis Ozbulut et al, 2020). The branched topology of HBPAES was tuned by changing the distance between the branch positions.…”
Section: Hydrated Pem Morphologymentioning
confidence: 99%
“…Molecular dynamics (MD) simulations using physics-based models have been proven highly efficient in predicting a range of polymer properties [29][30][31][32]. MD simulations were used in studying the miscibility of PHA and polylactide (PLA) polymers [33] and have also been employed in studying the mechanical properties of linear polymers [34], branched polymers [35], crosslinking polymers [36], and even the properties of the graphene-polymer interface [37,38]. In our previous work [29], we developed a modified polymer consistent force field (mPCFF) to represent PHA-based polymers by refining the torsional potentials associated with the polymer backbone based on density functional theory (DFT) calculations.…”
Section: Introductionmentioning
confidence: 99%