High-accuracy photoacoustic gas sensor enabled by deep learning-based concentration inversion from full waveforms.

Chen P, Feng M, Liang M, Wang Q, Qiao Y, Jiao M, Li L, Shan C

Open source

DOI
10.1016/j.pacs.2026.100868
Published
2026 Oct
Container
Photoacoustics
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.pacs.2026.100868,
  title = {High-accuracy photoacoustic gas sensor enabled by deep learning-based concentration inversion from full waveforms.},
  author = {Chen P and Feng M and Liang M and Wang Q and Qiao Y and Jiao M and Li L and Shan C},
  year = {2026},
  journal = {Photoacoustics},
  doi = {10.1016/j.pacs.2026.100868},
  url = {https://doi.org/10.1016/j.pacs.2026.100868}
}

RIS

TY  - JOUR
TI  - High-accuracy photoacoustic gas sensor enabled by deep learning-based concentration inversion from full waveforms.
AU  - Chen P
AU  - Feng M
AU  - Liang M
AU  - Wang Q
AU  - Qiao Y
AU  - Jiao M
AU  - Li L
AU  - Shan C
PY  - 2026
JO  - Photoacoustics
DO  - 10.1016/j.pacs.2026.100868
UR  - https://doi.org/10.1016/j.pacs.2026.100868
ER  - 

APA

P, C., M, F., M, L., Q, W., Y, Q., M, J., L, L., & C, S. (2026). High-accuracy photoacoustic gas sensor enabled by deep learning-based concentration inversion from full waveforms.. Photoacoustics. https://doi.org/10.1016/j.pacs.2026.100868

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