1991
DOI: 10.1021/ma00017a030
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Surface segregation in binary polymer mixtures: a lattice model

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Cited by 107 publications
(107 citation statements)
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“…29 For quantitative analysis of the interfacial segregation, we have employed a self-consistent mean-field lattice model (SCMF-L) 18 as derived previously for polymer segregation to polymer surfaces and polymer/substrate interfaces. 19 A cubic lattice was used for all calculations. Because the relaxed chain diameter of dPS-130 (R 0 ) aN 1/2 ≈ 23 nm, where R 0 is the rms end-to-end distance, a is the statistical segment length, and N is the number of segments in a dPS-130 chain) is much greater than the overlap of PS and PMMA at the interface (w 1/2 ) a/(6 ) 1/2 ≈ 1.4 nm for ) 0.038), 16,30 the PMMA layer is treated as an infinitely flat (rigid) substrate.…”
Section: Resultsmentioning
confidence: 99%
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“…29 For quantitative analysis of the interfacial segregation, we have employed a self-consistent mean-field lattice model (SCMF-L) 18 as derived previously for polymer segregation to polymer surfaces and polymer/substrate interfaces. 19 A cubic lattice was used for all calculations. Because the relaxed chain diameter of dPS-130 (R 0 ) aN 1/2 ≈ 23 nm, where R 0 is the rms end-to-end distance, a is the statistical segment length, and N is the number of segments in a dPS-130 chain) is much greater than the overlap of PS and PMMA at the interface (w 1/2 ) a/(6 ) 1/2 ≈ 1.4 nm for ) 0.038), 16,30 the PMMA layer is treated as an infinitely flat (rigid) substrate.…”
Section: Resultsmentioning
confidence: 99%
“…13,19,20 Similarly where kT∆ p is the net energetic preference per segment for dPS over hPS at an hPMMA "substrate", and λ 1 is a lattice weighting factor (1/6 for cubic). 18 As shown in eq 3, ∆ p should be proportional to a simple difference in values for dPS/ hPMMA and hPS/hPMMA.…”
Section: Resultsmentioning
confidence: 99%
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“…A c c e p t e d M a n u s c r i p t For a binary polymer blend in which one component preferentially segregates to the surface the CDP in the near surface region, expressed in terms of the volume fraction of the surface segregating component, (z), can be described by an empirical hyperbolic tangent function [42]:…”
Section: Discussionmentioning
confidence: 99%
“…PVEE preferentially segregates to the blend surface and we describe the use of ARXPS to investigate the CDPs of the blend thin films and of SFM to study their surface morphology and hence miscibility. We assume that the CDPs can be modelled by an empirical hyperbolic tangent function [42] described by three floating parameters. These are determined by nonlinear least squares regression, their uncertainties estimated and the curve fit residuals analysed to demonstrate that the hyperbolic tangent CDP is a satisfactory fit to the ARXPS data.…”
Section: ] and Cumpsonmentioning
confidence: 99%