4.7 Article

Lowly loaded carbon nanotubes induced high electrical conductivity and giant magnetoresistance in ethylene/1-octene copolymers

期刊

POLYMER
卷 103, 期 -, 页码 315-327

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.polymer.2016.09.056

关键词

Giant magnetoresistance; Electrical conductivity; Surface gelation

资金

  1. American Chemical Society Petroleum Research Fund (ACS PRF) [53930-ND6]
  2. University of Tennessee [E01-1320-022]
  3. NSF [DMR 13-06392]
  4. National Natural Science Foundation of China [51403175]
  5. Shaanxi Natural Science Foundation of Shaanxi Province [2015JM5153]
  6. Fundamental Research Funds for the Central Universities [3102015ZY066]
  7. Division Of Materials Research
  8. Direct For Mathematical & Physical Scien [1306392] Funding Source: National Science Foundation

向作者/读者索取更多资源

High electrical conductivity in ethylene/1-octene copolymers (EOCs) was achieved by sticking CNTs onto the gelated EOCs pellet surface and the subsequent hot pressing. The electrical conductivity (sigma) was observed to be dependent on the pressing temperature and the CNT loading. Variable range hopping (VRH) mechanistic study revealed a 3-d electron transport mechanism. Both unique positive and negative magnetoresistance (MR) phenomena were observed in these polymer nanocomposites (PNCs) and theoretically analyzed by two different models (wave-function shrinkage model for positive GMR vs. forward interference model for negative GMR). Other properties were tested and analyzed as well. Neat EOCs and their nanocomposites exhibited both Newtonian and shear thinning behaviors under melting state. Less internal chain-chain friction heat was generated than that of neat EOCs after applying the same oscillation frequencies. The increased thermal stability of EOC nanocomposites was observed with increasing the CNTs loading. An increased thermal conductivity (lambda) was observed arising from the formed CNTs network. (C) 2016 Elsevier Ltd. All rights reserved.

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