A comprehensive review of Empirical, Theoretical, and AI-Based approaches for the prediction of surface tension of nanofluids DOI

Mahmoud Mahmoudi Marjanian,

Saeed Ghasemzade Bariki, Mohammad Amin Sobati

et al.

Journal of Molecular Liquids, Journal Year: 2025, Volume and Issue: unknown, P. 127508 - 127508

Published: April 1, 2025

Language: Английский

Exploring how base model combination affects the results of a “stacking” ensemble machine learning model: An applied study on optimization of heteroatom doped carbon data DOI
Krittapong Deshsorn, Weekit Sirisaksoontorn, Wisit Hirunpinyopas

et al.

FlatChem, Journal Year: 2025, Volume and Issue: 50, P. 100827 - 100827

Published: Jan. 29, 2025

Language: Английский

Citations

0
Impact of submerged substrate roughness on nanofluid swirling impinging jet arrays DOI Creative Commons
Masood Khan, Sudipta Debnath, Zahir U. Ahmed

et al.

Published: March 1, 2025

Language: Английский

Citations

0
Prediction of the viscosity of iron-CuO/water-ethylene glycol non-Newtonian hybrid nanofluids using different machine learning algorithms DOI Creative Commons

Mohammed Shorbaz Graish,

Ali B.M. Ali,

Murtadha M. Al-Zahiwat

et al.

Case Studies in Chemical and Environmental Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 101180 - 101180

Published: March 1, 2025

Language: Английский

Citations

0
A comprehensive review of Empirical, Theoretical, and AI-Based approaches for the prediction of surface tension of nanofluids DOI

Mahmoud Mahmoudi Marjanian,

Saeed Ghasemzade Bariki, Mohammad Amin Sobati

et al.

Journal of Molecular Liquids, Journal Year: 2025, Volume and Issue: unknown, P. 127508 - 127508

Published: April 1, 2025

Language: Английский

Citations

0