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A graphene-based broadband optical modulator

Author

Listed:
  • Ming Liu

    (NSF Nano-scale Science and Engineering Center (NSEC), 3112 Etcheverry Hall, University of California at Berkeley)

  • Xiaobo Yin

    (NSF Nano-scale Science and Engineering Center (NSEC), 3112 Etcheverry Hall, University of California at Berkeley)

  • Erick Ulin-Avila

    (NSF Nano-scale Science and Engineering Center (NSEC), 3112 Etcheverry Hall, University of California at Berkeley)

  • Baisong Geng

    (University of California at Berkeley)

  • Thomas Zentgraf

    (NSF Nano-scale Science and Engineering Center (NSEC), 3112 Etcheverry Hall, University of California at Berkeley)

  • Long Ju

    (University of California at Berkeley)

  • Feng Wang

    (University of California at Berkeley
    Lawrence Berkeley National Laboratory)

  • Xiang Zhang

    (NSF Nano-scale Science and Engineering Center (NSEC), 3112 Etcheverry Hall, University of California at Berkeley
    Lawrence Berkeley National Laboratory)

Abstract

A graphene-based photonics chip Graphene, the single-atom-thick form of carbon, holds promise for many applications, notably in electronics where it can complement or be integrated with silicon-based devices. Intense efforts have been devoted to develop a key enabling device, a broadband, fast optical modulator with a small device footprint. Now Liu et al. demonstrate an exciting new possibility for graphene in the area of on-chip optical communication: a graphene-based optical modulator integrated with a silicon chip. This new device relies on the electrical tuning of the Fermi level of the graphene sheet, and achieves modulation of guided light at frequencies over 1 gigahertz, together with a broad operating spectrum. At just 25 square micrometres in area, it is one of the smallest of its type.

Suggested Citation

  • Ming Liu & Xiaobo Yin & Erick Ulin-Avila & Baisong Geng & Thomas Zentgraf & Long Ju & Feng Wang & Xiang Zhang, 2011. "A graphene-based broadband optical modulator," Nature, Nature, vol. 474(7349), pages 64-67, June.
    • Handle: RePEc:nat:nature:v:474:y:2011:i:7349:d:10.1038_nature10067
    DOI: 10.1038/nature10067
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    Citations

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    Cited by:

    1. Sang Hyun Park & Michael Sammon & Eugene Mele & Tony Low, 2022. "Plasmonic gain in current biased tilted Dirac nodes," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    2. Hao Jiang & Jintao Fu & Jingxuan Wei & Shaojuan Li & Changbin Nie & Feiying Sun & Qing Yang Steve Wu & Mingxiu Liu & Zhaogang Dong & Xingzhan Wei & Weibo Gao & Cheng-Wei Qiu, 2024. "Synergistic-potential engineering enables high-efficiency graphene photodetectors for near- to mid-infrared light," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    3. Kunze Lu & Manlin Luo & Weibo Gao & Qi Jie Wang & Hao Sun & Donguk Nam, 2023. "Strong second-harmonic generation by sublattice polarization in non-uniformly strained monolayer graphene," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    4. Yang Cao & Kathirvel Nallappan & Guofu Xu & Maksim Skorobogatiy, 2022. "Add drop multiplexers for terahertz communications using two-wire waveguide-based plasmonic circuits," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    5. Seong Won Lee & Jong Seok Lee & Woo Hun Choi & Daegwang Choi & Su-Hyun Gong, 2024. "Ultra-compact exciton polariton modulator based on van der Waals semiconductors," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    6. Wang, Yan & Cheng, Wei & Feng, Junbo & Zang, Shengyin & Cheng, Hao & Peng, Zheng & Ren, Xiaodong & Shuai, Yubei & Liu, Hao & Pu, Xun & Yang, Junbo & Wu, Jiagui, 2022. "Silicon photonic secure communication using artificial neural network," Chaos, Solitons & Fractals, Elsevier, vol. 163(C).
    7. Max C. Lemme & Deji Akinwande & Cedric Huyghebaert & Christoph Stampfer, 2022. "2D materials for future heterogeneous electronics," Nature Communications, Nature, vol. 13(1), pages 1-5, December.

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