材料科学
纳米复合材料
渗透(认知心理学)
纳米颗粒
聚合物
渗流阈值
聚合物纳米复合材料
复合材料
纳米技术
化学工程
电阻率和电导率
生物
电气工程
工程类
神经科学
作者
Aria C. Zhang,Kohji Ohno,Russell J. Composto
出处
期刊:ACS Macro Letters
[American Chemical Society]
日期:2025-07-08
卷期号:14 (8): 1032-1037
标识
DOI:10.1021/acsmacrolett.5c00258
摘要
Nanoparticle (NP) percolation governs the mechanical reinforcement of polymer nanocomposite (PNC) films. In this study, we demonstrate that both internal network morphology and near-surface morphology of NPs influence the mechanical properties of PNC films composed of poly(methyl methacrylate)-grafted silica nanoparticles (PMMA-NPs) in a poly(styrene-ran-acrylonitrile) (SAN) matrix. By systematically varying film thickness and annealing conditions, we achieve distinct NP morphologies, including continuous pillars, discrete pillars, clusters, and interconnected networks, each exhibiting different levels of NP percolation. Atomic force microscopy nanoindentation reveals that films with interconnected networks exhibit the highest reduced modulus (7.6 GPa), nearly quadrupling that of as-cast films with uniform NP dispersion (1.8 GPa), along with a substantial increase in hardness (624 MPa compared to 298 MPa). Notably, surface NP structures formed during annealing contribute to an enhanced modulus at low loads. These findings establish a direct structure-property relationship, providing insights into designing mechanically robust PNCs for applications in coatings, electronics, and energy storage.
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