IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v493y2013i7431d10.1038_nature11727.html
   My bibliography  Save this article

Large-scale nanophotonic phased array

Author

Listed:
  • Jie Sun

    (Research Laboratory of Electronics, Massachusetts Institute of Technology)

  • Erman Timurdogan

    (Research Laboratory of Electronics, Massachusetts Institute of Technology)

  • Ami Yaacobi

    (Research Laboratory of Electronics, Massachusetts Institute of Technology)

  • Ehsan Shah Hosseini

    (Research Laboratory of Electronics, Massachusetts Institute of Technology)

  • Michael R. Watts

    (Research Laboratory of Electronics, Massachusetts Institute of Technology)

Abstract

A large-scale silicon nanophotonic phased array with more than 4,000 antennas is demonstrated using a state-of-the-art complementary metal-oxide–semiconductor (CMOS) process, enabling arbitrary holograms with tunability, which brings phased arrays to many new technological territories.

Suggested Citation

  • Jie Sun & Erman Timurdogan & Ami Yaacobi & Ehsan Shah Hosseini & Michael R. Watts, 2013. "Large-scale nanophotonic phased array," Nature, Nature, vol. 493(7431), pages 195-199, January.
  • Handle: RePEc:nat:nature:v:493:y:2013:i:7431:d:10.1038_nature11727
    DOI: 10.1038/nature11727
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature11727
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/nature11727?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Takaya Ochiai & Tomohiro Akazawa & Yuto Miyatake & Kei Sumita & Shuhei Ohno & Stéphane Monfray & Frederic Boeuf & Kasidit Toprasertpong & Shinichi Takagi & Mitsuru Takenaka, 2022. "Ultrahigh-responsivity waveguide-coupled optical power monitor for Si photonic circuits operating at near-infrared wavelengths," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    2. Joel Siegel & Shinho Kim & Margaret Fortman & Chenghao Wan & Mikhail A. Kats & Philip W. C. Hon & Luke Sweatlock & Min Seok Jang & Victor Watson Brar, 2024. "Electrostatic steering of thermal emission with active metasurface control of delocalized modes," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    3. Ruobing Qian & Kevin C. Zhou & Jingkai Zhang & Christian Viehland & Al-Hafeez Dhalla & Joseph A. Izatt, 2022. "Video-rate high-precision time-frequency multiplexed 3D coherent ranging," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    4. Mark Dong & Julia M. Boyle & Kevin J. Palm & Matthew Zimmermann & Alex Witte & Andrew J. Leenheer & Daniel Dominguez & Gerald Gilbert & Matt Eichenfield & Dirk Englund, 2023. "Synchronous micromechanically resonant programmable photonic circuits," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    5. Saeed Sharif Azadeh & Jason C. C. Mak & Hong Chen & Xianshu Luo & Fu-Der Chen & Hongyao Chua & Frank Weiss & Christopher Alexiev & Andrei Stalmashonak & Youngho Jung & John N. Straguzzi & Guo-Qiang Lo, 2023. "Microcantilever-integrated photonic circuits for broadband laser beam scanning," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    6. Ju Young Kim & Juho Park & Gregory R. Holdman & Jacob T. Heiden & Shinho Kim & Victor W. Brar & Min Seok Jang, 2022. "Full 2π tunable phase modulation using avoided crossing of resonances," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    7. H. H. Zhu & J. Zou & H. Zhang & Y. Z. Shi & S. B. Luo & N. Wang & H. Cai & L. X. Wan & B. Wang & X. D. Jiang & J. Thompson & X. S. Luo & X. H. Zhou & L. M. Xiao & W. Huang & L. Patrick & M. Gu & L. C., 2022. "Space-efficient optical computing with an integrated chip diffractive neural network," Nature Communications, Nature, vol. 13(1), pages 1-9, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:493:y:2013:i:7431:d:10.1038_nature11727. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.