SCFT-Guided Experimental Fabrication of Double-Diamond Structures in A1B/A2B Block Copolymer Binary Blends

IF 5.2 1区 化学 Q1 POLYMER SCIENCE
Xinyu Wang, , , Yi Feng, , , Shuchen Lu, , , Xueyan Feng*, , , Guowei Wang*, , and , Weihua Li*, 
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引用次数: 0

Abstract

It is well-known that neat AB linear diblock copolymers can form 3-fold double-gyroid (DG) bicontinuous tubular network nanostructures but cannot form thermodynamically stable 4-fold double-diamond (DD) structures. Although theoretical studies have suggested that blending homopolymers or homopolymer-like diblock copolymers into diblock copolymers can stabilize the DD structures in a wide region, experimentally achieving a stable DD structure in diblock copolymer systems still remains challenging. A series of previous studies has demonstrated that the binary blends composed of two A1B/A2B diblock copolymers with equal B-blocks but unequal A-blocks exhibit unique capability in stabilizing diverse nonclassical ordered structures by substantially shifting phase boundaries. In this work, we first employed self-consistent field theory (SCFT) to investigate the self-assembly behavior of the A1B/A2B blends and identified the parameters for stable DD structures. Our theoretical results reveal that the stability of DD structures is sensitive to the volume fraction of the AB diblock copolymers with shorter A-blocks, as well as sensitive to the length ratio of the two A-blocks. Guided by our theoretical predictions, we synthesized a number of polyisoprene-b-polystyrene (PI-b-PS) diblock copolymers. We subsequently blended diblock copolymers with varying polyisoprene (PI) lengths and investigated their self-assembled structures across various blending ratios. The DD structure was identified by small-angle X-ray scattering (SAXS) and confirmed by transmission electron microscopy (TEM). Our work demonstrates that experiments guided by reliable SCFT predictions can efficiently discover intriguing nonclassical nanostructures. In addition, our work confirms that this A1B/A2B binary blend possesses significant potential for stabilizing diverse novel structures.

Abstract Image

Abstract Image

scft引导下双金刚石结构在A1B/A2B嵌段共聚物二元共混体系中的实验制备
众所周知,纯AB型线性二嵌段共聚物可以形成3重双陀螺(DG)双连续管状网络纳米结构,但不能形成热稳定的4重双金刚石(DD)结构。虽然理论研究表明,将均聚物或类均聚物二嵌段共聚物共混到二嵌段共聚物中可以在大范围内稳定DD结构,但在实验上实现二嵌段共聚物体系中稳定DD结构仍然具有挑战性。先前的一系列研究表明,由b嵌段相等但A嵌段不相等的两种A1B/A2B双嵌段共聚物组成的二元共混物通过相界的显著改变,具有稳定多种非经典有序结构的独特能力。在这项工作中,我们首先采用自洽场理论(SCFT)研究了A1B/A2B共混物的自组装行为,并确定了稳定DD结构的参数。我们的理论结果表明,DD结构的稳定性对具有较短a嵌段的AB二嵌段共聚物的体积分数敏感,并且对两个a嵌段的长度比敏感。在理论预测的指导下,我们合成了许多聚异戊二烯-聚苯乙烯(PI-b-PS)二嵌段共聚物。随后,我们混合了不同长度的聚异戊二烯(PI)二嵌段共聚物,并研究了它们在不同混合比例下的自组装结构。通过小角x射线散射(SAXS)和透射电子显微镜(TEM)鉴定了DD的结构。我们的工作表明,在可靠的SCFT预测指导下的实验可以有效地发现有趣的非经典纳米结构。此外,我们的工作证实,这种A1B/A2B二元共混物具有稳定多种新结构的巨大潜力。
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来源期刊
Macromolecules
Macromolecules 工程技术-高分子科学
CiteScore
9.30
自引率
16.40%
发文量
942
审稿时长
2 months
期刊介绍: Macromolecules publishes original, fundamental, and impactful research on all aspects of polymer science. Topics of interest include synthesis (e.g., controlled polymerizations, polymerization catalysis, post polymerization modification, new monomer structures and polymer architectures, and polymerization mechanisms/kinetics analysis); phase behavior, thermodynamics, dynamic, and ordering/disordering phenomena (e.g., self-assembly, gelation, crystallization, solution/melt/solid-state characteristics); structure and properties (e.g., mechanical and rheological properties, surface/interfacial characteristics, electronic and transport properties); new state of the art characterization (e.g., spectroscopy, scattering, microscopy, rheology), simulation (e.g., Monte Carlo, molecular dynamics, multi-scale/coarse-grained modeling), and theoretical methods. Renewable/sustainable polymers, polymer networks, responsive polymers, electro-, magneto- and opto-active macromolecules, inorganic polymers, charge-transporting polymers (ion-containing, semiconducting, and conducting), nanostructured polymers, and polymer composites are also of interest. Typical papers published in Macromolecules showcase important and innovative concepts, experimental methods/observations, and theoretical/computational approaches that demonstrate a fundamental advance in the understanding of polymers.
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