IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v525y2015i7569d10.1038_nature14889.html
   My bibliography  Save this article

Spawning rings of exceptional points out of Dirac cones

Author

Listed:
  • Bo Zhen

    (Research Laboratory of Electronics, Massachusetts Institute of Technology)

  • Chia Wei Hsu

    (Research Laboratory of Electronics, Massachusetts Institute of Technology
    Yale University)

  • Yuichi Igarashi

    (Research Laboratory of Electronics, Massachusetts Institute of Technology
    Smart Energy Research Laboratories, NEC Corporation)

  • Ling Lu

    (Research Laboratory of Electronics, Massachusetts Institute of Technology)

  • Ido Kaminer

    (Research Laboratory of Electronics, Massachusetts Institute of Technology)

  • Adi Pick

    (Research Laboratory of Electronics, Massachusetts Institute of Technology
    Harvard University)

  • Song-Liang Chua

    (DSO National Laboratories)

  • John D. Joannopoulos

    (Research Laboratory of Electronics, Massachusetts Institute of Technology)

  • Marin Soljačić

    (Research Laboratory of Electronics, Massachusetts Institute of Technology)

Abstract

Exceptional points are singularities in non-Hermitian systems that can produce unusual effects, and it is shown that a Dirac cone in a photonic crystal can generate a continuous ring of exceptional points through flattening the tip of the cone.

Suggested Citation

  • Bo Zhen & Chia Wei Hsu & Yuichi Igarashi & Ling Lu & Ido Kaminer & Adi Pick & Song-Liang Chua & John D. Joannopoulos & Marin Soljačić, 2015. "Spawning rings of exceptional points out of Dirac cones," Nature, Nature, vol. 525(7569), pages 354-358, September.
  • Handle: RePEc:nat:nature:v:525:y:2015:i:7569:d:10.1038_nature14889
    DOI: 10.1038/nature14889
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature14889
    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/nature14889?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. A. Hashemi & K. Busch & D. N. Christodoulides & S. K. Ozdemir & R. El-Ganainy, 2022. "Linear response theory of open systems with exceptional points," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Qiuyan Zhou & Jien Wu & Zhenhang Pu & Jiuyang Lu & Xueqin Huang & Weiyin Deng & Manzhu Ke & Zhengyou Liu, 2023. "Observation of geometry-dependent skin effect in non-Hermitian phononic crystals with exceptional points," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    3. Anna Grudinina & Maria Efthymiou-Tsironi & Vincenzo Ardizzone & Fabrizio Riminucci & Milena De Giorgi & Dimitris Trypogeorgos & Kirk Baldwin & Loren Pfeiffer & Dario Ballarini & Daniele Sanvitto & Nin, 2023. "Collective excitations of a bound-in-the-continuum condensate," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    4. M. Król & I. Septembre & P. Oliwa & M. Kędziora & K. Łempicka-Mirek & M. Muszyński & R. Mazur & P. Morawiak & W. Piecek & P. Kula & W. Bardyszewski & P. G. Lagoudakis & D. D. Solnyshkov & G. Malpuech , 2022. "Annihilation of exceptional points from different Dirac valleys in a 2D photonic system," Nature Communications, Nature, vol. 13(1), pages 1-6, December.
    5. Lang Feng & Stefan Natu & Victoria Som de Cerff Edmonds & John J. Valenza, 2022. "Multiphase flow detection with photonic crystals and deep learning," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    6. Yi-Cheng Wang & Jhih-Shih You & H. H. Jen, 2022. "A non-Hermitian optical atomic mirror," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    7. Kai Zhang & Zhesen Yang & Chen Fang, 2022. "Universal non-Hermitian skin effect in two and higher dimensions," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    8. Takuya Inoue & Masahiro Yoshida & John Gelleta & Koki Izumi & Keisuke Yoshida & Kenji Ishizaki & Menaka Zoysa & Susumu Noda, 2022. "General recipe to realize photonic-crystal surface-emitting lasers with 100-W-to-1-kW single-mode operation," Nature Communications, Nature, vol. 13(1), pages 1-10, 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:525:y:2015:i:7569:d:10.1038_nature14889. 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.