4.8 Article

Electrical tunability of terahertz nonlinearity in graphene

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SCIENCE ADVANCES
卷 7, 期 15, 页码 -

出版社

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/sciadv.abf9809

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资金

  1. European Union [964735]
  2. European Cluster of Advanced Laser Light Sources (EUCALL) project from the European Union's Horizon 2020 research and innovation program [654220]
  3. European Union's Horizon 2020 research and innovation programme [804349]
  4. MAINZ Visiting Professorship
  5. Severo Ochoa program from Spanish MINECO [SEV-2017-0706]
  6. Government of Spain [FIS2016-81044, CEX2019-000910-S]
  7. Fundacio Cellex
  8. Fundacio Mir-Puig
  9. Generalitat de Catalunya (CERCA)
  10. Generalitat de Catalunya (AGAUR)
  11. Generalitat de Catalunya (SGR) [1656]
  12. European Union's Horizon 2020 [881603]

向作者/读者索取更多资源

Graphene exhibits exceptional nonlinear optoelectronic properties in the terahertz frequency range, surpassing other materials by orders of magnitude. Efficient control of graphene's terahertz nonlinearity through electrical gating, with minimal gating voltages, significantly enhances power conversion efficiency in third-harmonic generation. Experimental results are in quantitative agreement with a physical model of graphene nonlinearity, offering a basis for designing efficient electronic signal processing devices at ultrahigh frequencies.
Graphene is conceivably the most nonlinear optoelectronic material we know. Its nonlinear optical coefficients in the terahertz frequency range surpass those of other materials by many orders of magnitude. Here, we show that the terahertz nonlinearity of graphene, both for ultrashort single-cycle and quasi-monochromatic multicycle input terahertz signals, can be efficiently controlled using electrical gating, with gating voltages as low as a few volts. For example, optimal electrical gating enhances the power conversion efficiency in terahertz third-harmonic generation in graphene by about two orders of magnitude. Our experimental results are in quantitative agreement with a physical model of the graphene nonlinearity, describing the time-dependent thermodynamic balance maintained within the electronic population of graphene during interaction with ultrafast electric fields. Our results can serve as a basis for straightforward and accurate design of devices and applications for efficient electronic signal processing in graphene at ultrahigh frequencies.

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