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2.
ACS Nano ; 7(11): 9684-92, 2013 Nov 26.
Artigo em Inglês | MEDLINE | ID: mdl-24156297

RESUMO

We describe a simple route to fabricate two dimensionally well-ordered, periodic nanopatterns using the self-assembly of brush block copolymers (brush BCPs). Well-developed lamellar microdomains oriented perpendicular to the substrate are achieved, without modification of the underlying substrates, and structures with feature sizes greater than 200 nm are generated due to the reduced degree of chain entanglements of brush BCPs. A near-perfect linear scaling law was found for the period, L, as a function of backbone degree of polymerization (DP) for two series of brush BCPs. The exponent increases slightly from 0.99 to 1.03 as the side chain molecular weight increases from ∼2.4 to ∼4.5 kg/mol(-1) and saturated with further increase in the side chain molecular weight due to the entropic penalty associated with the packing of the side chains. Porous templates and scaffolds from brush BCP thin films are also obtained by selective etching of one component.

3.
ACS Nano ; 7(3): 2551-8, 2013 Mar 26.
Artigo em Inglês | MEDLINE | ID: mdl-23368902

RESUMO

Self-assembled structures of brush block copolymers (BrBCPs) with polylactide (PLA) and polystyrene (PS) side chains were studied. The polynorbornene-backbone-based BrBCPs containing approximately equal volume fractions of each block self-assembled into highly ordered lamellae with domain spacing ranging from 20 to 240 nm by varying molecular weight of the backbone in the bulk state, as revealed by small-angle X-ray scattering (SAXS). The domain size increased approximately linearly with backbone length, which indicated an extended conformation of the backbone in the ordered state. In situ SAXS measurements suggested that the BrBCPs self-assemble with an extremely fast manner which could be attributed to a reduced number of entanglements between chains. The strong segregation theory and Monte Carlo simulation also confirmed this near-linear dependence of the domain spacing on backbone length, rationalizing experimental results.

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