SSNet:用于提高SERS在复杂混合物中追踪目标的质量敏感性的光谱解框架
Si-Heng Luo1,2,3, Jing Xu2, Wei-Li Wang2
1Strait Institute of Flexible Electronics (SIFE, Future Technologies), Fujian Key Laboratory of Flexible Electronics, Fujian Normal University and Strait Laboratory of Flexible Electronics (SLoFE), Fuzhou, Fujian 350117, China.
Journal of the American Chemical Society
|November 15, 2025
概括
No abstract available in PubMed .


