Simultaneous analysis of the chemical composition and surface flatness of steel using laser-induced breakdown spectroscopy combined with a multi-task convolutional neural network
An approach for simultaneous multi-element and flatness analyses of steel materials using LIBS combined with a multi-task CNN and its interpretability.
Authors
- Yanshi Zhang (ORCID: https://orcid.org/0000-0002-0721-2933)
- X. Ma (ORCID: https://orcid.org/0000-0001-9831-0565)
- Yifan Wu (ORCID: https://orcid.org/0000-0001-8872-6014)
- Jinrui Ye (ORCID: https://orcid.org/0009-0001-5674-7280)
- Shaofeng Zhang (ORCID: https://orcid.org/0000-0002-9920-2344)
- Zhao Zhang (ORCID: https://orcid.org/0000-0002-7323-5500)
- Zuoye Liu (ORCID: https://orcid.org/0000-0002-0078-8956)
- Yaju Li
- Xueqi Liu (ORCID: https://orcid.org/0009-0009-0652-6373)
- Qiang Zeng (ORCID: https://orcid.org/0009-0006-5889-3632)
- D B Qian (ORCID: https://orcid.org/0000-0003-0186-0988)
- Lei Yang (ORCID: https://orcid.org/0000-0003-0258-8824)
Institutions
- Chinese Academy of Sciences (CN)
- Ji Hua Laboratory (CN)
- Institute of Modern Physics (CN)
- University of Chinese Academy of Sciences (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- Journal of Analytical Atomic Spectrometry
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5ja00110b
- Primary Topic
- Laser-induced spectroscopy and plasma
- Type
- article
- Field-Weighted Citation Impact
- 0.00