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Molecular Architecture Directs Linear-Bottlebrush-Linear Triblock Copolymers to Self-Assemble to Soft Reprocessable Elastomers.
Nian, Shifeng; Lian, Huada; Gong, Zihao; Zhernenkov, Mikhail; Qin, Jian; Cai, Li-Heng.
Afiliación
  • Lian H; Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States.
  • Zhernenkov M; National Synchrotron Light Source-II, Brookhaven National Laboratory, Upton, New York 11973, United States.
  • Qin J; Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States.
ACS Macro Lett ; 8(11): 1528-1534, 2019 Nov 19.
Article en En | MEDLINE | ID: mdl-35651182
ABSTRACT
Linear-bottlebrush-linear (LBBL) triblock copolymers represent an emerging system for creating multifunctional nanostructures. Their self-assembly depends on molecular architecture but remains poorly explored. We synthesize polystyrene-block-bottlebrush polydimethylsiloxane-block-polystyrene triblock copolymers with controlled molecular architecture and use them as a model system to study the self-assembly of LBBL polymers. Unlike classical stiff rod-flexible linear block copolymers that are prone to form highly ordered nanostructures such as lamellae, at small weight fractions of the linear blocks, LBBL polymers self-assemble to a disordered sphere phase, regardless of the bottlebrush stiffness. Microscopically, characteristic lengths increase with the bottlebrush stiffness by a power of 2/3, which is captured by a scaling analysis. Macroscopically, the formed nanostructures are ultrasoft, reprocessable elastomers with shear moduli of about 1 kPa, two orders of magnitude lower than that of conventional polydimethylsiloxane elastomers. Our results provide insights on exploiting the self-assembly of LBBL polymers to create soft functional nanostructures.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: ACS Macro Lett Año: 2019 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: ACS Macro Lett Año: 2019 Tipo del documento: Article