Program Asymmetric Binary Packing Lattices of AB<sub>1</sub>CB<sub>2</sub> Tetrablock Terpolymers

ABC-type block terpolymers have great potential to self-assemble into rich ordered nanostructures, e.g., binary cylindrical structures. Recent experiments observed novel binary cylindrical structures in AB1CB2 linear tetrablock terpolymers, which have a high coordination number of A cylinder (CNA = 8). To elucidate the formation mechanism of high-CNA binary cylindrical phases and thus to stabilize more high-CNA phases, we investigate the self-assembly of AB1CB2 block copolymers, focusing on the exploration of distinct high-CNA cylindrical phases. We introduce a polygonal tiling approach to divide the planar space into different regions for two B blocks to fill through local separation. Based on this approach, the transition mechanism between different binary phases is clarified. Following the transition mechanism, we predict a multitude of high-CNA binary cylindrical phases by tailoring the key architectural parameters such as the volume fraction or the conformational parameter of the A block, including those with CNA = 6, 7, 8, 9, 10, and 12. Our theoretical prediction of so many novel binary cylindrical phases is expected to promote further experimental studies on the self-assembly of ABC-type block copolymers.

Authors

Institutions

Publication Details

Journal
Macromolecules
Published
2025-09-12
DOI
https://doi.org/10.1021/acs.macromol.5c01524
Primary Topic
Block Copolymer Self-Assembly
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Program Asymmetric Binary Packing Lattices of AB1CB2 Tetrablock Terpolymers

Qingshu Dong, Weihua Li, Xianbo Huang, Peng Li et al.
Macromolecules
Block Copolymer Self-Assembly
article

Program Asymmetric Binary Packing Lattices of AB1CB2 Tetrablock Terpolymers

Qingshu Dong, Weihua Li, Xianbo Huang, Peng Li, X. Ran
article en

Abstract

ABC-type block terpolymers have great potential to self-assemble into rich ordered nanostructures, e.g., binary cylindrical structures. Recent experiments observed novel binary cylindrical structures in AB1CB2 linear tetrablock terpolymers, which have a high coordination number of A cylinder (CNA = 8). To elucidate the formation mechanism of high-CNA binary cylindrical phases and thus to stabilize more high-CNA phases, we investigate the self-assembly of AB1CB2 block copolymers, focusing on the exploration of distinct high-CNA cylindrical phases. We introduce a polygonal tiling approach to divide the planar space into different regions for two B blocks to fill through local separation. Based on this approach, the transition mechanism between different binary phases is clarified. Following the transition mechanism, we predict a multitude of high-CNA binary cylindrical phases by tailoring the key architectural parameters such as the volume fraction or the conformational parameter of the A block, including those with CNA = 6, 7, 8, 9, 10, and 12. Our theoretical prediction of so many novel binary cylindrical phases is expected to promote further experimental studies on the self-assembly of ABC-type block copolymers.

MacromoleculesVol. 58(18)
Fudan University (CN), Physical Sciences (United States) (US), Ingenierie des Materiaux polymeres (FR), GCI Science & Technology (China) (CN)
Openalex Percentile: Top 79%
Block Copolymer Self-Assembly
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Program Asymmetric Binary Packing Lattices of AB<sub>1</sub>CB<sub>2</sub> Tetrablock Terpolymers — Qingshu Dong, Weihua Li, et al. · Macromolecules (2025) | TGRS Research Map | TGRS