您当前的位置：
首页 >
文章列表页 >
Background sequence prediction for TXM-XANES based on polynomial regression and linear interpolation
SYNCHROTRON RADIATION TECHNOLOGY AND APPLICATIONS | 更新时间：2024-10-25
|

    • Background sequence prediction for TXM-XANES based on polynomial regression and linear interpolation

    • “In the field of energy materials research, scientists use machine learning algorithms to complete background image sequence prediction modeling through two spectroscopic background images, significantly improving the efficiency of full field nanospectral imaging experiments.”
    • NUCLEAR TECHNIQUES   Vol. 47, Issue 3, Article number: 030102(2024)

    • DOI：10.11889/j.0253-3219.2024.hjs.47.030102    

      CLC： TL54+4;TL99

    • Received：29 October 2023，

      Revised：28 December 2023，

      Published：15 March 2024

    移动端阅览

  • XING Yanjun,GAO Ruoyang,ZHANG Ling,et al.Background sequence prediction for TXM-XANES based on polynomial regression and linear interpolation[J].NUCLEAR TECHNIQUES,2024,47(03):030102. DOI： 10.11889/j.0253-3219.2024.hjs.47.030102.

  •  
  •  

0

Views

203

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

No data

Related Author

No data

Related Institution

No data
0