Characterization of Turbulent Kinetic Energy and Shear Layers in Sudden Expansion Flows: A Physics-Informed Machine Learning Approach.

Sisman S

DOI: 10.1007/s13239-026-00865-7
Published: 2026 Oct 13
Container: Cardiovascular engineering and technology
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s13239-026-00865-7,
  title = {Characterization of Turbulent Kinetic Energy and Shear Layers in Sudden Expansion Flows: A Physics-Informed Machine Learning Approach.},
  author = {Sisman S},
  year = {2026},
  journal = {Cardiovascular engineering and technology},
  doi = {10.1007/s13239-026-00865-7},
  url = {https://doi.org/10.1007/s13239-026-00865-7}
}

RIS

TY  - JOUR
TI  - Characterization of Turbulent Kinetic Energy and Shear Layers in Sudden Expansion Flows: A Physics-Informed Machine Learning Approach.
AU  - Sisman S
PY  - 2026
JO  - Cardiovascular engineering and technology
DO  - 10.1007/s13239-026-00865-7
UR  - https://doi.org/10.1007/s13239-026-00865-7
ER  -

APA

S, S. (2026). Characterization of Turbulent Kinetic Energy and Shear Layers in Sudden Expansion Flows: A Physics-Informed Machine Learning Approach.. Cardiovascular engineering and technology. https://doi.org/10.1007/s13239-026-00865-7

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pubmed · retrieved 2026-11-10T11:35:59.742Z