2013
DOI: 10.1063/1.4838375
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Some aspects of the orientational order distribution of flexible chains in a diblock mesophase

Abstract: The segmental motions of flexible chains in the lamellar structure of a strongly segregated poly(styrene)-poly(dimethylsiloxane) (PS-PDMS) diblock were investigated over a time scale of a few tens of microseconds. (2)H NMR experiments were performed on the PDMS block, selectively perdeuterated. Transverse relaxation measurements show that the main part of the PDMS repeat units display anisotropic reorientational motions within the diblock lamellae and such a segmental ordering essentially results from intercha… Show more

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Cited by 26 publications
(27 citation statements)
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“…This technique has been proven successful to characterize the intrinsic morphology of crosslinked elastomeric-like materials such as natural and synthetic rubbers, PDMS and other elastomers, as well as the influence of chemical modifications, variation of crosslink density and aging on such materials. [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34] Recently, this technique was successfully used in combination with DMA measurements to study the relationship between the structure of Poly(trimethylene carbonate) (PTMC) and their macroscopic thermomechanical behavior. 35 This robust combination of multiscale techniques has opened the perspective of obtaining a fine characterization of crosslinked polymeric networks with different chemical structures.…”
Section: Introductionmentioning
confidence: 99%
“…This technique has been proven successful to characterize the intrinsic morphology of crosslinked elastomeric-like materials such as natural and synthetic rubbers, PDMS and other elastomers, as well as the influence of chemical modifications, variation of crosslink density and aging on such materials. [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34] Recently, this technique was successfully used in combination with DMA measurements to study the relationship between the structure of Poly(trimethylene carbonate) (PTMC) and their macroscopic thermomechanical behavior. 35 This robust combination of multiscale techniques has opened the perspective of obtaining a fine characterization of crosslinked polymeric networks with different chemical structures.…”
Section: Introductionmentioning
confidence: 99%
“…[28][29][30][31][32][33][34][35] In particular, Double-Quantum DQ 1 H sequences have been successfully used in elastomeric-like polymer networks (i.e. natural & synthetic rubbers and PDMS 36,37 ) and, through a careful data treatment, have allowed the fine study of the networks structure and dynamics, namely the polymers' molecular mobility, crosslink density v C , and chain defects concentration w def , [36][37][38][39][40][41][42][43][44][45][46][47] as well as the evolution of such network properties with temperature, 48,49 chemical modification [50][51][52] and thermal ageing. 53,54 The common basis of these approaches is their potential ability to discriminate dynamical and structural effects, which allows semi-local structural features of networks to be retrieved from local dynamical measurements.…”
Section: Introductionmentioning
confidence: 99%
“…This distribution function does not have a separate width parameter, as its width depends on its average D av , restricting its general use. Therefore, following a first demonstration of Lorthioir et al for the special case of 2 H DQ buildup in a copoly mer block, [35] this study here advocates the use of a lognormal distribution of D res in terms of ln(D res )…”
Section: Mq Nmr Data Analysis For Inhomogeneous Networkmentioning
confidence: 81%
“…This distribution function does not have a separate width parameter, as its width depends on its average D av , restricting its general use. Therefore, following a first demonstration of Lorthioir et al for the special case of 2 H DQ buildup in a copolymer block, this study here advocates the use of a log‐normal distribution of D res in terms of ln( D res )P( ln(Dres)) = 1σln2π exp []false(lnfalse(Dnormalresfalse)lnfalse(Dnormalmedfalse)false)2normal/2σIn2which depends on the median D med and the standard deviation σ ln. Notably, σ ln as defined on the ln( D res ) scale is dimensionless, and one can show that 1.023σ ln is equal to the full width at half‐maximum of the distribution after converting to a log( D res ) scale.…”
Section: Methodsmentioning
confidence: 89%