IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v521y2015i7553d10.1038_nature14456.html
   My bibliography  Save this article

Extreme ultraviolet high-harmonic spectroscopy of solids

Author

Listed:
  • T. T. Luu

    (Max-Planck-Institut für Quantenoptik)

  • M. Garg

    (Max-Planck-Institut für Quantenoptik)

  • S. Yu. Kruchinin

    (Max-Planck-Institut für Quantenoptik)

  • A. Moulet

    (Max-Planck-Institut für Quantenoptik)

  • M. Th. Hassan

    (Max-Planck-Institut für Quantenoptik)

  • E. Goulielmakis

    (Max-Planck-Institut für Quantenoptik)

Abstract

Intense light interacting with a thin film of silicon dioxide is used to generate broadband extreme ultraviolet radiation; the spectra reveal detailed information on the energy dispersion of the conduction band of silicon dioxide, which is at present inaccessible by conventional photoemission spectroscopy.

Suggested Citation

  • T. T. Luu & M. Garg & S. Yu. Kruchinin & A. Moulet & M. Th. Hassan & E. Goulielmakis, 2015. "Extreme ultraviolet high-harmonic spectroscopy of solids," Nature, Nature, vol. 521(7553), pages 498-502, May.
  • Handle: RePEc:nat:nature:v:521:y:2015:i:7553:d:10.1038_nature14456
    DOI: 10.1038/nature14456
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature14456
    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/nature14456?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. Soonyoung Cha & Minjeong Kim & Youngjae Kim & Shinyoung Choi & Sejong Kang & Hoon Kim & Sangho Yoon & Gunho Moon & Taeho Kim & Ye Won Lee & Gil Young Cho & Moon Jeong Park & Cheol-Joo Kim & B. J. Kim , 2022. "Gate-tunable quantum pathways of high harmonic generation in graphene," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    2. Álvaro Jiménez-Galán & Chandler Bossaer & Guilmot Ernotte & Andrew M. Parks & Rui E. F. Silva & David M. Villeneuve & André Staudte & Thomas Brabec & Adina Luican-Mayer & Giulio Vampa, 2023. "Orbital perspective on high-harmonic generation from solids," Nature Communications, Nature, vol. 14(1), pages 1-6, December.
    3. Enrico Ridente & Mikhail Mamaikin & Najd Altwaijry & Dmitry Zimin & Matthias F. Kling & Vladimir Pervak & Matthew Weidman & Ferenc Krausz & Nicholas Karpowicz, 2022. "Electro-optic characterization of synthesized infrared-visible light fields," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    4. Sylvianne D. C. Roscam Abbing & Nataliia Kuzkova & Roy Linden & Filippo Campi & Brian Keijzer & Corentin Morice & Zhuang-Yan Zhang & Maarten L. S. Geest & Peter M. Kraus, 2024. "Enhancing the efficiency of high-order harmonics with two-color non-collinear wave mixing in silica," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    5. Jan Reislöhner & Doyeong Kim & Ihar Babushkin & Adrian N. Pfeiffer, 2022. "Onset of Bloch oscillations in the almost-strong-field regime," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    6. Yang-Yang Lv & Jinlong Xu & Shuang Han & Chi Zhang & Yadong Han & Jian Zhou & Shu-Hua Yao & Xiao-Ping Liu & Ming-Hui Lu & Hongming Weng & Zhenda Xie & Y. B. Chen & Jianbo Hu & Yan-Feng Chen & Shining , 2021. "High-harmonic generation in Weyl semimetal β-WP2 crystals," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    7. M. Ossiander & K. Golyari & K. Scharl & L. Lehnert & F. Siegrist & J. P. Bürger & D. Zimin & J. A. Gessner & M. Weidman & I. Floss & V. Smejkal & S. Donsa & C. Lemell & F. Libisch & N. Karpowicz & J. , 2022. "The speed limit of optoelectronics," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    8. Shidong Yang & Xiwang Liu & Jinyan Lin & Ruixin Zuo & Xiaohong Song & Marcelo Ciappina & Weifeng Yang, 2022. "Reconstructing the Semiconductor Band Structure by Deep Learning," Mathematics, MDPI, vol. 10(22), pages 1-11, November.
    9. Victor Chang Lee & Lun Yue & Mette B. Gaarde & Yang-hao Chan & Diana Y. Qiu, 2024. "Many-body enhancement of high-harmonic generation in monolayer MoS2," Nature Communications, Nature, vol. 15(1), pages 1-8, 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:521:y:2015:i:7553:d:10.1038_nature14456. 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.