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Peer-reviewedLicence not statedMicrofluidics and Nanofluidics

Analysis of the rarefied flow at micro-step using a DeepONet surrogate model with a physics-guided zonal loss function

  1. 1Mechanical and Industrial Engineering, University of Massachusetts Amherst, 160 Governors Dr., Amherst, MA, 01003, USA
  2. 2Department of Mechanical Engineering, Hakim Sabzevari University, Sabzevar, Iran

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BibTeX
@article{roohi2026analysis,
  title = {{Analysis of the rarefied flow at micro-step using a DeepONet surrogate model with a physics-guided zonal loss function}},
  author = {Ehsan Roohi and Amirmehran Mahdavi},
  journal = {Microfluidics and Nanofluidics},
  year = {2026},
  month = may,
  doi = {10.1007/s10404-026-02899-8},
  url = {http://arxiv.org/abs/2509.17254},
}
RIS
TY  - JOUR
TI  - Analysis of the rarefied flow at micro-step using a DeepONet surrogate model with a physics-guided zonal loss function
AU  - Ehsan Roohi
AU  - Amirmehran Mahdavi
PY  - 2026
DA  - 2026/05/11
JO  - Microfluidics and Nanofluidics
DO  - 10.1007/s10404-026-02899-8
UR  - http://arxiv.org/abs/2509.17254
SN  - 1613-4982
SN  - 1613-4990
ER  -