Bayesian regularization technique for chemical reactive flow dynamics of hybrid nanomaterial using Xue model: Chemical reactor optimization
Waleed Mohammed Abdelfattah, Munawar Abbas, Mustafa Bayram, Farkhod Rakhmonov, Humaira Kanwal, Ali Hasan Ali · 2026
Read Bayesian regularization technique for chemical reactive flow dynamics of hybrid nanomaterial using Xue model: Chemical reactor optimization by Waleed Mohammed Abdelfattah, Munawar Abbas, Mustafa Bayram, Farkhod Rakhmonov, Humaira Kanwal, Ali Hasan Ali (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-13584024.txt.
Description
Waleed Mohammed Abdelfattah and five co-authors model a reactive nanofluid flowing over a sensor plate, in a 2026 paper. The fluid carries heat-hungry nanoparticles and swimming microbes, a mix pitched at chips, biosensors, and fuel cells.
Rather than solve the tangled equations head-on, the team trains a neural network with a Bayesian regularization method. The model handles blowing at the surface, heat radiation, and an activation energy for the chemistry. Stronger blowing lifted the flow profile. A stronger chemical reaction thinned the concentration field. The authors frame the setup for reactor design. The same scheme might aid wastewater treatment and biofuel reactors, where microbes and heat must be managed together.
Catalog record
| CREATOR | Waleed Mohammed Abdelfattah, Munawar Abbas, Mustafa Bayram, Farkhod Rakhmonov, Humaira Kanwal, Ali Hasan Ali |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |