arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1907.03310cond-mat.mtrl-sci
收藏

界面偶极层对石墨烯场效应晶体管性能的影响

Influence of interface dipole layers on the performance of graphene field effect transistors

Naoka Nagamura, Hirokazu Fukidome, Kosuke Nagashio, Koji Horiba, Takayuki Ide, Kazutoshi Funakubo, Keiichiro Tashima, Akira Toriumi, Maki Suemitsu, Karsten Horn, Masaharu Oshima

摘要:

石墨烯在费米能级附近的能带的线性能带色散产生了其独特的电子性质,例如巨大的载流子迁移率,这引发了对石墨烯场效应晶体管(GFET)等应用的广泛研究。然而,GFET通常表现出比预期的器件性能差得多的器件性能。这归因于石墨烯的电子性质对周围界面的强烈依赖性。在这里,我们研究了石墨烯通道和SiO $_{2}$之间的界面,并通过光电子能谱显微镜实现在界面处的能带排列的过程的详细测定。我们的研究结果表明,石墨烯的电子性质调制的亲水性SiO $_{2}$表面,但不是由疏水性的。通过结合光电子能谱与GFET传输特性表征,我们表明,在界面上的电偶极子,这反映了SiO $_{2}$表面电化学的存在下,确定GFET器件的性能。作为极性的函数的电阻对栅极电压的滞后归因于栅极电压对偶极层的反转。这些数据为GFET器件的优化铺平了道路。

英文摘要:

The linear band dispersion of graphene's bands near the Fermi level gives rise to its unique electronic properties, such as a giant carrier mobility, and this has triggered extensive research in applications, such as graphene field-effect transistors (GFETs). However, GFETs generally exhibit a device performance much inferior compared to the expected one. This has been attributed to a strong dependence of the electronic properties of graphene on the surrounding interfaces. Here we study the interface between a graphene channel and SiO$_{2}$, and by means of photoelectron spectromicroscopy achieve a detailed determination of the course of band alignment at the interface. Our results show that the electronic properties of graphene are modulated by a hydrophilic SiO$_{2}$ surface, but not by a hydrophobic one. By combining photoelectron spectromicroscopy with GFET transport property characterization, we demonstrate that the presence of electrical dipoles in the interface, which reflects the SiO$_{2}$ surface electrochemistry, determines the GFET device performance. A hysteresis in the resistance vs. gate voltage as a function of polarity is ascribed to a reversal of the dipole layer by the gate voltage. These data pave the way for GFET device optimization.

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。

↑