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

Laser & Infrared, Volume. 54, Issue 5, 701(2024)

Depth prediction of K424 alloy etching based on machine learning

ZHANG Qing1,2,3, QIAO Hong-cao1,2、*, WANG Shun-shan1,2,3, and ZHAO Ji-bin1,2
Author Affiliations
  • 1Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
  • 2Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (0)
    Equations (0)
    References (11)
    Tools
    Paper Information
    Topics
    Figures & Tables(0)
    Tools

    Get Citation

    Copy Citation Text

    ZHANG Qing, QIAO Hong-cao, WANG Shun-shan, ZHAO Ji-bin. Depth prediction of K424 alloy etching based on machine learning[J]. Laser & Infrared, 2024, 54(5): 701

    Download Citation

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

    Category:

    Received: Aug. 7, 2023

    Accepted: May. 21, 2025

    Published Online: May. 21, 2025

    The Author Email: QIAO Hong-cao (hcqiao@sia.cn)

    DOI:10.3969/j.issn.1001-5078.2024.05.007

    Topics

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