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arXiv 1806.08615cond-mat.mes-hall
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石墨烯电容器中的超长波长狄拉克等离子体激元

Ultra-long wavelength Dirac plasmons in graphene capacitors

H. Graef, D. Mele, M. Rosticher, C. Stampfer, T. Taniguchi, K. Watanabe, E. Bocquillon, G. Fève, J-M. Berroir, E. H. T. Teo, B. Plaçais

摘要:

石墨烯是一个有价值的2D平台,为等离子体激元在最近的太赫兹和中红外光学实验所示。然而,这些高能等离子体激元耦合到介电表面模式,从而产生混合等离子体激元-极化激元激发。超长波长解决了GHz-THz电子域中等离子体光谱的低能量端,其中本征石墨烯狄拉克等离子体基本上与其环境解耦。然而,实验是难以捉摸的,由于阻尼欧姆损失在低频。我们在这里展示了一个等离子体共振电容器(PRC)使用六方氮化硼(hBN)封装的石墨烯在低温下在近弹道制度。我们报告的$100\;\mathrm{μm}$四分之一波等离子体模式,在$40\;\mathrm{GHz}$,与品质因数$Q\simeq2$。谐振技术的准确性产生了一个精确的电子压缩性和动力学电感的测定,允许评估从固有的狄拉克等离子体的残余偏差。我们的电容GHz实验构成了在无线通信和传感的子THz域中用于微波检测的等离子体谐振晶体管的演示的第一步。这也为实现克莱因隧穿控制等离子体传播的掺杂调制超晶格铺平了道路。

英文摘要:

Graphene is a valuable 2D platform for plasmonics as illustrated in recent THz and mid-infrared optics experiments. These high-energy plasmons however, couple to the dielectric surface modes giving rise to hybrid plasmon-polariton excitations. Ultra-long-wavelengthes address the low energy end of the plasmon spectrum, in the GHz-THz electronic domain, where intrinsic graphene Dirac plasmons are essentially decoupled from their environment. However experiments are elusive due to the damping by ohmic losses at low frequencies. We demonstrate here a plasma resonance capacitor (PRC) using hexagonal boron-nitride (hBN) encapsulated graphene at cryogenic temperatures in the near ballistic regime. We report on a $100\;\mathrm{μm}$ quarter-wave plasmon mode, at $40\;\mathrm{GHz}$, with a quality factor $Q\simeq2$. The accuracy of the resonant technique yields a precise determination of the electronic compressibility and kinetic inductance, allowing to assess residual deviations from intrinsic Dirac plasmonics. Our capacitor GHz experiment constitutes a first step toward the demonstration of plasma resonance transistors for microwave detection in the sub-THz domain for wireless communications and sensing. It also paves the way to the realization of doping modulated superlattices where plasmon propagation is controlled by Klein tunneling.

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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