4.8 Article

Ballistic to diffusive crossover of heat flow in graphene ribbons

期刊

NATURE COMMUNICATIONS
卷 4, 期 -, 页码 -

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/ncomms2755

关键词

-

资金

  1. Presidential Early Career (PECASE) award from the Army Research Office
  2. Office of Naval Research (ONR)
  3. Nanotechnology Research Initiative (NRI)
  4. National Science Foundation (NSF)
  5. NSF CI TraCS Postdoctoral Fellowship
  6. Direct For Computer & Info Scie & Enginr
  7. Office of Advanced Cyberinfrastructure (OAC) [1122690] Funding Source: National Science Foundation
  8. Directorate For Engineering
  9. Div Of Electrical, Commun & Cyber Sys [1201982] Funding Source: National Science Foundation
  10. Directorate For Engineering
  11. Div Of Electrical, Commun & Cyber Sys [1346858, 1201311] Funding Source: National Science Foundation

向作者/读者索取更多资源

Heat flow in nanomaterials is an important area of study, with both fundamental and technological implications. However, little is known about heat flow in two-dimensional devices or interconnects with dimensions comparable to the phonon mean free path. Here we find that short, quarter-micron graphene samples reach similar to 35% of the ballistic thermal conductance limit up to room temperature, enabled by the relatively large phonon mean free path (similar to 100 nm) in substrate-supported graphene. In contrast, patterning similar samples into nanoribbons leads to a diffusive heat-flow regime that is controlled by ribbon width and edge disorder. In the edge-controlled regime, the graphene nanoribbon thermal conductivity scales with width approximately as similar to W-1.8 +/- 0.3, being about 100 W m(-1) K-1 in 65-nm-wide graphene nanoribbons, at room temperature. These results show how manipulation of two-dimensional device dimensions and edges can be used to achieve full control of their heat-carrying properties, approaching fundamentally limited upper or lower bounds.

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

4.8
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