Static Mixers for High-Viscosity Systems: From Classical Helices to Machine-Learning-Optimized Geometries.

Luo S, Wang C

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DOI: 10.1021/acsomega.5c08387
Published: 2025 Nov 18
Container: ACS omega
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1021/acsomega.5c08387,
  title = {Static Mixers for High-Viscosity Systems: From Classical Helices to Machine-Learning-Optimized Geometries.},
  author = {Luo S and Wang C},
  year = {2025},
  journal = {ACS omega},
  doi = {10.1021/acsomega.5c08387},
  url = {https://doi.org/10.1021/acsomega.5c08387}
}

RIS

TY  - JOUR
TI  - Static Mixers for High-Viscosity Systems: From Classical Helices to Machine-Learning-Optimized Geometries.
AU  - Luo S
AU  - Wang C
PY  - 2025
JO  - ACS omega
DO  - 10.1021/acsomega.5c08387
UR  - https://doi.org/10.1021/acsomega.5c08387
ER  -

APA

S, L., & C, W. (2025). Static Mixers for High-Viscosity Systems: From Classical Helices to Machine-Learning-Optimized Geometries.. ACS omega. https://doi.org/10.1021/acsomega.5c08387

Source records

pubmed · retrieved 2026-09-26T04:15:58.121Z
europe-pmc · retrieved 2026-09-26T04:15:58.134Z
doaj · retrieved 2026-09-26T04:15:58.113Z