Physics-Informed Neural Network Assisted Extraction of Height-Averaged Pulsatile Flow Velocity From Scalar Signal Transport in a Shallow Microfluidic Channel.

Gong YX, Wang YT, Yin JG, Hu XQ, Li YJ, Qin KR

Open source

DOI
10.1115/1.4072290
Published
2026 Sep 1
Container
Journal of biomechanical engineering
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1115/1.4072290,
  title = {Physics-Informed Neural Network Assisted Extraction of Height-Averaged Pulsatile Flow Velocity From Scalar Signal Transport in a Shallow Microfluidic Channel.},
  author = {Gong YX and Wang YT and Yin JG and Hu XQ and Li YJ and Qin KR},
  year = {2026},
  journal = {Journal of biomechanical engineering},
  doi = {10.1115/1.4072290},
  url = {https://doi.org/10.1115/1.4072290}
}

RIS

TY  - JOUR
TI  - Physics-Informed Neural Network Assisted Extraction of Height-Averaged Pulsatile Flow Velocity From Scalar Signal Transport in a Shallow Microfluidic Channel.
AU  - Gong YX
AU  - Wang YT
AU  - Yin JG
AU  - Hu XQ
AU  - Li YJ
AU  - Qin KR
PY  - 2026
JO  - Journal of biomechanical engineering
DO  - 10.1115/1.4072290
UR  - https://doi.org/10.1115/1.4072290
ER  - 

APA

YX, G., YT, W., JG, Y., XQ, H., YJ, L., & KR, Q. (2026). Physics-Informed Neural Network Assisted Extraction of Height-Averaged Pulsatile Flow Velocity From Scalar Signal Transport in a Shallow Microfluidic Channel.. Journal of biomechanical engineering. https://doi.org/10.1115/1.4072290

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