4.7 Article

Macromolecule and Particle Dynamics in Confined Media

期刊

MACROMOLECULES
卷 49, 期 16, 页码 5755-5772

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.macromol.6b00471

关键词

-

资金

  1. NSF/Polymer [DMR-1507713]
  2. NSF/MRSEC [DMR-1120901]
  3. NSF/MWN [DMR-1210379]
  4. ACS/PRF program [54028-ND7]
  5. E. I. DuPont De Nemours and Company
  6. Division of Materials Research at the National Science Foundation
  7. MRL at UCSB [NSF DMR 1121053]
  8. Direct For Mathematical & Physical Scien
  9. Division Of Materials Research [1210379] Funding Source: National Science Foundation

向作者/读者索取更多资源

Dynamic properties play an important role in designing functional polymer nanocomposites, impacting molecular transport and phase separation kinetics. When nanoparticle (NP) size is comparable to polymer chain size, segmental relaxations may be influenced by changes in chain conformations and packing at the polymer/NP interface. Following the reptation model, these changes can perturb the longest relaxation time, in particular, the center-of-mass (COM) dynamics of polymer chains in entangled melts. This Perspective focuses on unsolved issues in polymer COM diffusion and local dynamics and segmental motions in the presence of NPs. The article introduces the effect of NP size, shape, surface modification, and enthalpic interactions on polymer diffusion and further relates dynamic studies in PNCs to macromolecular transport in bio-related systems and nanopores. Studies of local dynamics also provide insights into how entanglement density, monomeric friction, and chain conformation are influenced by NPs and how the interplay between these key parameters relates to COM dynamics to provide a unified picture across length scales. Moving forward, new studies investigating dynamics in PNCs are needed to address these unresolved problems and motivate potential applications from membranes for separations to NP carriers for drug delivery.

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