Supervised machine learning computing paradigm of energy activation for magnetic nanofluid flow via porous surface with nonlinear variant viscosity
approves distinction of suggested methodology established on the closeness of the recommended and reference results.
Authors
- Kamel Guedri (ORCID: https://orcid.org/0000-0002-0902-950X)
- Neissrien Alhubieshi (ORCID: https://orcid.org/0009-0005-8435-4125)
- Rafaqat Ali Khan
- Mohamed R. Eid (ORCID: https://orcid.org/0000-0003-2479-9809)
- Hijaz Ahmad
- Abbas Khan
- Syed M. Hussain
- Wasim Jamshed
Institutions
- Khazar University (AZ)
- Northern Border University (SA)
- Korea University (KR)
- Umm al-Qura University (SA)
- University of Haripur (PK)
- Biruni University (TR)
- Northern University (PK)
- Islamic University of Madinah (SA)
- Korea University (JP)
- University of Warsaw (PL)
- Near East University (CY)
- King Khalid University (SA)
Publication Details
- Journal
- Discover Nano
- Published
- 2026-05-12
- DOI
- https://doi.org/10.1186/s11671-026-04610-w
- Primary Topic
- Nanofluid Flow and Heat Transfer
- Type
- article
- Field-Weighted Citation Impact
- 0.00