2010
DOI: 10.1002/marc.201000299
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Phase Transition and Phase Transformation in Block Copolymer Nanoparticles

Abstract: Block copolymer nanopaticles were prepared from the mixture solutions containing good/poor solvents by a simple evaporation process. The block copolymers formed disorder, unidirectionally stacked lamellar, and onion-like structures in nanoparticles depending on preparation temperatures. Thermal annealing induced the disorder-order phase transition and order-order phase transformation in the block copolymer nanoparticles, even though the annealing temperature is lower than the of one polymer segment. The unusua… Show more

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Cited by 90 publications
(120 citation statements)
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“…32 The unidirectionally stacked lamellae and onion-like structures are types of 'isomers' based on the lamellar structure of the nanoparticles. As we reported previously, [20][21][22][23][24][25]33 these two structures can be controlled by changing the solution concentration and by thermal annealing. Moreover, the periodicity of the phase separation can be controlled by changing the molecular weights of block copolymers within particles.…”
Section: Hierarchical Assembly Of Cds Nanoparticles H Yabu Et Almentioning
confidence: 85%
“…32 The unidirectionally stacked lamellae and onion-like structures are types of 'isomers' based on the lamellar structure of the nanoparticles. As we reported previously, [20][21][22][23][24][25]33 these two structures can be controlled by changing the solution concentration and by thermal annealing. Moreover, the periodicity of the phase separation can be controlled by changing the molecular weights of block copolymers within particles.…”
Section: Hierarchical Assembly Of Cds Nanoparticles H Yabu Et Almentioning
confidence: 85%
“…55 The morphological transformation between an axially stacked lamellar and onionlike structure was observed under spherical 3D confinement. 54 Figure 6 shows the morphological transformation of lamellaforming SI BCP in nanoparticles dispersed in water (i.e., a poor solvent for SI) by applying thermal annealing. In the annular dark field (ADF)-STEM images, the dark and bright regions are unstained PS and PI phases stained with OsO 4 , respectively.…”
Section: Accounts Of Chemical Researchmentioning
confidence: 99%
“…Specifically, microstructures with multiple spherical layers, that is, spherically concentric lamellae or onion-like structures, have been predicted in lamella-forming diblock copolymer nanoparticles by Monte Carlo (MC) simulations 21,22 and by dynamic density functional theory simulations, 23 and have been observed in the experiments with various methods. [24][25][26][27][28][29] These studies demonstrate that the spherical boundaries of nanoparticles, especially those with preferential surfaces, can strongly influence the microstructures of diblock nanoparticles by distorting the flat lamellae into spherical ones. Moreover, the perpendicular lamellae, that is, the stacked lamellae, have been observed for diblock copolymer nanoparticles in experiments 25,26,29,30 and simulations, 22 in which the lamellae maintain the same flat characteristics as the bulk structures (perpendicular to one of symmetric axe).…”
Section: Introductionmentioning
confidence: 84%
“…[24][25][26][27][28][29] These studies demonstrate that the spherical boundaries of nanoparticles, especially those with preferential surfaces, can strongly influence the microstructures of diblock nanoparticles by distorting the flat lamellae into spherical ones. Moreover, the perpendicular lamellae, that is, the stacked lamellae, have been observed for diblock copolymer nanoparticles in experiments 25,26,29,30 and simulations, 22 in which the lamellae maintain the same flat characteristics as the bulk structures (perpendicular to one of symmetric axe). In addition to spherical and perpendicular lamellae, a series of non-lamellar microstructures, including the embedded structure and Janus-type, tennis ball-, mushroom-and screw-like structures, have also been observed in symmetric diblock copolymer nanoparticles.…”
Section: Introductionmentioning
confidence: 84%
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