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arXiv 1202.5737cond-mat.mes-hall
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石墨烯低温超灵敏宽带热测量

Ultra-sensitive and Wide Bandwidth Thermal Measurements of Graphene at Low Temperatures

Kin Chung Fong, Keith Schwab

摘要:

石墨烯是一种在室温附近具有优异的电子性质和优异的热输运性质的材料,这已经得到了很好的研究和理解。然而,在非常低的温度下,热力学和热传输性质的研究要少得多,并且有些令人惊讶的是,预计会表现出极端的热隔离。在这里,我们展示了一个超灵敏,宽带宽的测量方案,探测石墨烯的电子气的热输运和热力学性质。我们采用微波频率下的约翰逊噪声测温法,灵敏地测量了电子气的温度,分辨率为$4 mK/\sqrt{Hz}$,带宽为80 MHz。我们测量了电荷密度为$2\cdot 10^{11} cm^{-2}$的电子-声子耦合。利用测辐射热混合,我们感测到的温度振荡周期为430 ps,并已确定的电子气的热容量为$2\cdot 10^{-21} J/(K\cdot μm^2)$在5 K,这是一致的二维,狄拉克电子气。这些测量表明,石墨烯基器件与宽带噪声测温技术一起可以在超灵敏测辐射热法、量热法、微波和太赫兹光探测以及测辐射热混合等领域产生实质性进展,以应用于观测天文学和量子信息及测量等领域。

英文摘要:

Graphene is a material with remarkable electronic properties and exceptional thermal transport properties near room temperature, which have been well examined and understood. However at very low temperatures the thermodynamic and thermal transport properties are much less well explored and somewhat surprisingly, is expected to exhibit extreme thermal isolation. Here we demonstrate an ultra-sensitive, wide-bandwidth measurement scheme to probe the thermal transport and thermodynamic properties of the electron gas of graphene. We employ Johnson noise thermometry at microwave frequency to sensitively measure the temperature of the electron gas with resolution of $4 mK/\sqrt{Hz}$ and a bandwidth of 80 MHz. We have measured the electron-phonon coupling from 2-30 K at a charge density of $2\cdot 10^{11} cm^{-2}$. Utilizing bolometric mixing, we have sensed temperature oscillations with period of 430 ps and have determined the heat capacity of the electron gas to be $2\cdot 10^{-21} J/(K\cdot μm^2)$ at 5 K which is consistent with that of a two dimensional, Dirac electron gas. These measurements suggest that graphene-based devices together with wide bandwidth noise thermometry can generate substantial advances in the areas of ultra-sensitive bolometry, calorimetry, microwave and terahertz photo-detection, and bolometric mixing for applications in areas such as observational astronomy and quantum information and measurement.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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