Suppr超能文献

通过富勒烯封装对单个碳纳米管中的热输运和热电输运进行调制。

Modulation of thermal and thermoelectric transport in individual carbon nanotubes by fullerene encapsulation.

作者信息

Kodama Takashi, Ohnishi Masato, Park Woosung, Shiga Takuma, Park Joonsuk, Shimada Takashi, Shinohara Hisanori, Shiomi Junichiro, Goodson Kenneth E

机构信息

Department of Mechanical Engineering, Stanford University, Stanford, California 94305, USA.

Department of Mechanical Engineering, School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan.

出版信息

Nat Mater. 2017 Sep;16(9):892-897. doi: 10.1038/nmat4946. Epub 2017 Jul 31.

Abstract

The potential impact of encapsulated molecules on the thermal properties of individual carbon nanotubes (CNTs) has been an important open question since the first reports of the strong modulation of electrical properties in 2002. However, thermal property modulation has not been demonstrated experimentally because of the difficulty of realizing CNT-encapsulated molecules as part of thermal transport microstructures. Here we develop a nanofabrication strategy that enables measurement of the impact of encapsulation on the thermal conductivity (κ) and thermopower (S) of single CNT bundles that encapsulate C , Gd@C and Er @C . Encapsulation causes 35-55% suppression in κ and approximately 40% enhancement in S compared with the properties of hollow CNTs at room temperature. Measurements of temperature dependence from 40 to 320 K demonstrate a shift of the peak in the κ to lower temperature. The data are consistent with simulations accounting for the interaction between CNTs and encapsulated fullerenes.

摘要

自2002年首次报道对电性能的强烈调制以来,封装分子对单个碳纳米管(CNT)热性能的潜在影响一直是一个重要的开放性问题。然而,由于难以将碳纳米管封装分子作为热传输微结构的一部分来实现,热性能调制尚未通过实验得到证实。在此,我们开发了一种纳米制造策略,能够测量封装对封装C、Gd@C和Er@C的单个碳纳米管束的热导率(κ)和热功率(S)的影响。与室温下空心碳纳米管的性能相比,封装导致κ降低35 - 55%,S提高约40%。在40至320 K范围内对温度依赖性的测量表明,κ的峰值向低温方向移动。这些数据与考虑碳纳米管和封装富勒烯之间相互作用的模拟结果一致。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验