Intelligent predictive neural network analysis on microbes in bioconvection flow of hybrid nanoliquid under diffusion thermo and thermo diffusion effects
Humaira Kanwal, Shouki A Ebad, Fuad Alsarari, Abed Saif Ahmed Alghawli, Dhouha Choukaier, Ruzimurod Abiyev · 2026
Read Intelligent predictive neural network analysis on microbes in bioconvection flow of hybrid nanoliquid under diffusion thermo and thermo diffusion effects by Humaira Kanwal, Shouki A Ebad, Fuad Alsarari, Abed Saif Ahmed Alghawli, Dhouha Choukaier, Ruzimurod Abiyev (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13575060.txt.
Description
Humaira Kanwal and co-authors present a 2026 paper on a neural network that predicts how swimming microbes stir a heated nanofluid. In bioconvection, gyrotactic microbes swim upward and drag the fluid into patterns, a motion tangled with heat and chemical diffusion effects. The model targets hybrid nanoliquids where two cross-diffusion effects act at once.
The authors pitch the predictor at practical design work. It can forecast microbe-driven mixing inside microfluidic chips and lab-on-a-chip devices. Bioreactors and wastewater units could use it to plan how microbes and particles spread for better cleanup. Drug delivery and biosensor design face the same coupling of motion, heat, and chemistry. Cooling systems might exploit the convection boost the microbes provide. The network stands in for slow simulations once trained.
Catalog record
| CREATOR | Humaira Kanwal, Shouki A Ebad, Fuad Alsarari, Abed Saif Ahmed Alghawli, Dhouha Choukaier, Ruzimurod Abiyev |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 24 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |