Intelligent predictive neural network analysis on LTNE impacts on thermophoretic particle deposition in HFE 7100 nanofluid with Co3O4 nanoparticle
Saba Liaqat, Bouthaina Dammak, Muhammad Sabaoon Khan, Walid Abdelfattah, Joy Djuansjah, Ilyas Khan, Munawar Abbas, Nidhal Ben Khedher · 2026
Read Intelligent predictive neural network analysis on LTNE impacts on thermophoretic particle deposition in HFE 7100 nanofluid with Co3O4 nanoparticle by Saba Liaqat, Bouthaina Dammak, Muhammad Sabaoon Khan, Walid Abdelfattah, Joy Djuansjah, Ilyas Khan, Munawar Abbas, Nidhal Ben Khedher (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-13197498.txt.
Description
Saba Liaqat and co-authors train a neural network to predict particle deposition in an engineered heat transfer fluid in a 2026 study. The fluid carries cobalt oxide nanoparticles past a vertical cylinder inside a porous medium. Heat generation and thermophoresis, particles drifting along temperature gradients, shape the deposition. Their model treats fluid and solid matrix as separate temperature fields that need not agree, a setup called local thermal non equilibrium.
A Bayesian regularized training method was used to keep the network's predictions stable and general. The network was trained and tested against computed values for key engineering quantities. Results are shown as tables and graphs of how governing factors move the flow. One finding: the liquid phase heat transfer rate falls as inter phase heat transport rises.
Catalog record
| CREATOR | Saba Liaqat, Bouthaina Dammak, Muhammad Sabaoon Khan, Walid Abdelfattah, Joy Djuansjah, Ilyas Khan, Munawar Abbas, Nidhal Ben Khedher |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 85 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |