Two-Regime Conformation of Grafted Polymer on Nanoparticle Determines Symmetry of Nanoparticle Self-Assembly

被引:3
|
作者
Yu, Ji Woong [1 ]
Yun, Hongseok [2 ,3 ]
Lee, Won Bo [4 ,5 ]
Kim, YongJoo [6 ]
机构
[1] Korea Inst Adv Study, Ctr AI & Nat Sci, Seoul 02455, South Korea
[2] Hanyang Univ, Dept Chem, Seoul 04763, South Korea
[3] Hanyang Univ, Res Inst Convergence Basic Sci, Seoul 04763, South Korea
[4] Seoul Natl Univ, Inst Chem Proc, Sch Chem & Biol Engn, Seoul 08826, South Korea
[5] Seoul Natl Univ, Sch Transdisciplinary Innovat, Seoul 08826, South Korea
[6] Korea Univ, Dept Mat Sci & Engn, Seoul 02841, South Korea
基金
新加坡国家研究基金会;
关键词
grafted nanoparticle; molecular dynamics simulation; nanoparticle self-assembly; polymer conformation; self-assembly symmetry transition; BLOCK-COPOLYMERS; NANOCRYSTAL SUPERLATTICES; BRUSH; MONOPARTICULATE; TRANSITIONS; DYNAMICS; LAYER;
D O I
10.1002/advs.202406720
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
One of the key design factors that regulate the properties of grafted nanoparticles (GNPs) and their self-assembly is the conformation of the grafted polymer. On the curved surface of the GNP core, the conformation of the polymer chain is not uniform in the radial direction. The segment is a non-Gaussian chain in the concentrated polymer brush (CPB) regime near the interface between GNP core and grafted polymer, while it is less constrained in the semidilute polymer brush (SDPB) regime near the surface of GNP. Here, the property of polymer conformation showing crossover behavior at the CPB/SDPB threshold through the coarse-grain molecular dynamics simulation of nanoparticles with explicit grafted chains is explored. Moreover, the self-assembly structure depends on the effective softness, which is defined as a function of the threshold of two regimes estimated from the conformation of the polymer. The study examines the transition between concentrated polymer brush and semidilute polymer brush regimes through polymer conformation analysis. It precisely determines effective softness as an order parameter predicting self-assembly symmetry. The research utilizes self-assembly simulations to demonstrate that the symmetry predicted by effective softness aligns with simulation results. The study provides insights into nanoparticle arrangements based on polymer grafting properties. image
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页数:10
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