Laser & Optoelectronics Progress, Volume. 62, Issue 5, 0530002(2025)
Raman Spectroscopic Identification of Hazardous Chemicals Based on a Deep Neural Network
Fig. 1. Schematic diagram of Raman spectrum sample acquisition and model training process
Fig. 2. Raman spectra of some hazardous chemicals. (a) CH₃OH; (b) C₇H₈; (c) CH₂O; (d) C₂H₆O₂; (e) C₂H₅NH₂; (f) CH₃CN; (g) C₆H₁₂; (h) H₂SO₄; (i) HNO₃; (j) KNO₃
Get Citation
Copy Citation Text
Yuhao Xie, Qianmin Dong, Shangzhong Jin, Pei Liang. Raman Spectroscopic Identification of Hazardous Chemicals Based on a Deep Neural Network[J]. Laser & Optoelectronics Progress, 2025, 62(5): 0530002
Category: Spectroscopy
Received: Jul. 4, 2024
Accepted: Aug. 13, 2024
Published Online: Feb. 26, 2025
The Author Email:
CSTR:32186.14.LOP241633