Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Advanced Photonics, Volume. 2, Issue 2, 020501(2020)

Solving the missing cone problem by deep learning

Dashan Dong1,2 and Kebin Shi1,2,3、*
Author Affiliations
  • 1Peking University, State Key Laboratory for Mesoscopic Physics and Frontiers Science Center for Nano-Optoelectronics, School of Physics, Beijing, China
  • 2Shanxi University, Collaborative Innovation Center of Extreme Optics, Taiyuan, Shanxi, China
  • 3Peking University, Collaborative Innovation Center of Quantum Matter, Beijing, China
    • show less
    Full TextGet PDF
    Figures&Tables (1)
    Equations (0)
    References (5)
    Cited By (7)
    Tools
    Paper Information
    Topics
    Cited By

    Article index updated: Mar. 8, 2024

    Citation counts are provided from Web of Science. The counts may vary by service, and are reliant on the availability of their data.
    The article is cited by 7 article(s) from Web of Science.
    The article is cited by 4 article(s) CLP online library. (Some content might be in Chinese.)
    Tools

    Get Citation

    Copy Citation Text

    Dashan Dong, Kebin Shi, "Solving the missing cone problem by deep learning," Adv. Photon. 2, 020501 (2020)

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category: News and Commentaries

    Received: --

    Accepted: --

    Published Online: Apr. 30, 2020

    The Author Email: Shi Kebin (kebinshi@pku.edu.cn)

    DOI:10.1117/1.AP.2.2.020501

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology