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Naji, M. |
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Motta, Antonella |
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Casati, R. |
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Kočí, Jan | Prague |
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Ali, M. A. |
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Rančić, M. |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Dorfman, Kevin D.
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Publications (7/7 displayed)
- 2024Boundary Frustration in Double-Gyroid Thin Filmscitations
- 2024Equilibrium phase behavior of gyroid-forming diblock polymer thin filmscitations
- 2023Surface relief terraces in double-gyroid-forming polystyrene- block -polylactide thin filmscitations
- 2022Stabilizing a Double Gyroid Network Phase with 2 nm Feature Size by Blending of Lamellar and Cylindrical Forming Block Oligomerscitations
- 2020Order and Disorder in ABCA′ Tetrablock Terpolymerscitations
- 2017Thermal processing of diblock copolymer melts mimics metallurgycitations
- 2016Cornucopia of Nanoscale Ordered Phases in Sphere-Forming Tetrablock Terpolymerscitations
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article
Stabilizing a Double Gyroid Network Phase with 2 nm Feature Size by Blending of Lamellar and Cylindrical Forming Block Oligomers
Abstract
<p>Molecular dynamics simulations are used to study binary blends of an AB-type diblock and an AB2-type miktoarm triblock amphiphiles (also known as high-χ block oligomers) consisting of sugar-based (A) and hydrocarbon (B) blocks. In their pure form, the AB diblock and AB2 triblock amphiphiles self-assemble into ordered lamellar (LAM) and cylindrical (CYL) structures, respectively. At intermediate compositions, however, the AB2-rich blend (0.2 ≤ xAB ≤ 0.4) forms a double gyroid (DG) network, whereas perforated lamellae (PL) are observed in the AB-rich blend (0.5 ≤ xAB ≤ 0.8). All of the ordered mesophases present domain pitches under 3 nm, with 1 nm feature sizes for the polar domains. Structural analyses reveal that the nonuniform interfacial curvatures of DG and PL structures are supported by local composition variations of the LAM- and CYL-forming amphiphiles. Self-consistent mean field theory calculations for blends of related AB and AB2 block polymers also show the DG network at intermediate compositions, when A is the minority block, but PL is not stable. This work provides molecular-level insights into how blending of shape-filling molecular architectures enables network phase formation with extremely small feature sizes over a wide composition range.</p>