Fachinformationsdienst BAUdigital

A platform for research: civil engineering, architecture and urbanism

    Helium retention feature in the boron deposited layer on tungsten substrate by laser-induced breakdown spectroscopy and machine learning approach

    New search for: Shabbir, Muhammad Amir
    New search for: Hai, Ran
    New search for: He, Zhonglin
    New search for: Liu, Zehua
    New search for: Rehman, Fahad
    New search for: Bai, Xue
    New search for: Mu, Jianping
    New search for: Wu, Ding
    New search for: Li, Cong
    New search for: Ding, Hongbin

    Access

    Download

    Access

    Download

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    Helium retention feature in the boron deposited layer on tungsten substrate by laser-induced breakdown spectroscopy and machine learning approach

    New search for: Shabbir, Muhammad Amir
    New search for: Hai, Ran
    New search for: He, Zhonglin
    New search for: Liu, Zehua
    New search for: Rehman, Fahad
    New search for: Bai, Xue
    New search for: Mu, Jianping
    New search for: Wu, Ding
    New search for: Li, Cong
    New search for: Ding, Hongbin

    Access

    Download

    Helium retention feature in the boron deposited layer on tungsten substrate by laser-induced breakdown spectroscopy and machine learning approach

    New search for: Shabbir, Muhammad Amir
    New search for: Hai, Ran
    New search for: He, Zhonglin
    New search for: Liu, Zehua
    New search for: Rehman, Fahad
    New search for: Bai, Xue
    New search for: Mu, Jianping
    New search for: Wu, Ding
    New search for: Li, Cong
    New search for: Ding, Hongbin

    Access

    Download

    Access

    Download

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    Document information
    Title:

    Helium retention feature in the boron deposited layer on tungsten substrate by laser-induced breakdown spectroscopy and machine learning approach

    Additional title:

    Nuclear Materials and Energy

    Contributors:

    Shabbir, Muhammad Amir (author) / Hai, Ran (author) / He, Zhonglin (author) / Liu, Zehua (author) / Rehman, Fahad (author) / Bai, Xue (author) / Mu, Jianping (author) / Wu, Ding (author) / Li, Cong (author) / Ding, Hongbin (author)

    Published in:

    Nuclear Materials and Energy ; 41 ; 101760

    Publication date:

    2024-12-01

    ISSN:

    2352-1791

    DOI:

    https://doi.org/10.1016/j.nme.2024.101760

    Type of media:

    Article (Journal)

    Type of material:

    Electronic Resource

    Language:

    English

    Licence:

    http://creativecommons.org/licenses/by-nc-nd/4.0/

    Similar titles

    Helium retention feature in the boron deposited layer on tungsten substrate by laser-induced breakdown spectroscopy and machine learning approach

    Muhammad Amir Shabbir / Ran Hai / Zhonglin He et al. | DOAJ | 2024

    Free access

    Laser-induced breakdown spectroscopy for helium detection in beryllium coatings

    Indrek Jõgi / Peeter Paris / Jasper Ristkok et al. | DOAJ | 2024

    Free access

    Laser-induced breakdown spectroscopy for helium detection in beryllium coatings

    Jõgi, Indrek / Paris, Peeter / Ristkok, Jasper et al. | Elsevier | 2024

    Free access

    Quantitative characterization of helium in the ITER-like co-deposition layer by laser-induced breakdown spectroscopy

    Zhonglin He / Yan Lyu / Ding Wu et al. | DOAJ | 2023

    Free access

    Characterization of helium retention in the inhomogeneous co-deposited layers using a long pulse laser induced ablation-quadrupole mass spectroscopy

    Yan Lyu / Zhonglin He / XueYan Wang et al. | DOAJ | 2022

    Free access
    Back to top