4.7 Article

Dynamic Heterogeneity of Filler-Associated Interphases in Polymer Nanocomposites

期刊

MACROMOLECULAR RAPID COMMUNICATIONS
卷 42, 期 11, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/marc.202100061

关键词

confinement; filled elastomers; interphase; nanocomposites; NMR spin diffusion; T; (g) gradient

资金

  1. Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [316439043 (SA982/13-1), 189853844 (SFB-TRR 102)]
  2. German National Academy of Sciences [LPDS-2017-14]
  3. Projekt DEAL

向作者/读者索取更多资源

Interphases with mobility gradients in dynamically inhomogeneous polymer systems may play key roles in material performance. Particle-filled rubber, with favorable rubber-filler interactions, is an example where nanoscale immobilized layers and regions of intermediate mobility may form. Dynamic heterogeneities, including nanometer-sized subdomains, could also be present as indicated by short-time data supporting their presence.
Dynamically inhomogeneous polymer systems exhibit interphases with mobility gradients. These are believed to play key roles in the material's performance. A prominent example is particle-filled rubber, a special case of a crosslinked polymer nanocomposite, where favorable rubber-filler interactions may give rise to a nanoscale immobilized layer around the filler, including regions of intermediate mobility. Such intermediate domains may either form a separate shell-like layer or be a manifestation of dynamic heterogeneities, in which case the intermediately mobile material would be dispersed in the form of nanometer-sized subdomains. In this contribution, bidirectional proton NMR spin diffusion (SD) experiments applied to silica-filled acrylate rubber are combined with numerical simulations to provide microscopic insights into this question. While model calculations for different scenarios fit the given data similarly well for longer SD mixing time, the short-time data do support the presence of dynamic heterogeneities.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据