Investigation of different training function efficiency in modeling thermal conductivity of TiO2/Water nanofluid using artificial neural network-Reference-Cited by-同舟云学术

Investigation of different training function efficiency in modeling thermal conductivity of TiO2/Water nanofluid using artificial neural network

Published:2022-11 Issue: Volume:653 Page:129811
ISSN:0927-7757
Container-title:Colloids and Surfaces A: Physicochemical and Engineering Aspects
language:en
Short-container-title:Colloids and Surfaces A: Physicochemical and Engineering Aspects

Author:

Hemmat Esfe Mohammad,Esfandeh Saeed,Toghraie Davood

Publisher

Elsevier BV

Subject

Colloid and Surface Chemistry

Reference57 articles.

1. Electrochemical sensor based on nanocomposite of multi-walled carbon nano-tubes (MWCNTs)/TiO2/carbon ionic liquid electrode analysis of acetaminophen in pharmaceutical formulations;Azin;Iran. J. Chem. Chem. Eng. (IJCCE),2021

2. Impact of silver ions doping and calcination on the physicochemical characteristics of TiO2 nanoparticles with photocatalytic and regeneration potential;Saqib;Iran. J. Chem. Chem. Eng. (IJCCE),2021

3. Investigation of crotonaldehyde adsorption on pure and pd-decorated gan nanotubes: a density functional theory study;Jasim;Solid State Commun.,2022

4. Nanomagnetic Salamo-based-Pd (0) Complex: an efficient heterogeneous catalyst for Suzuki–Miyaura and Heck cross-coupling reactions in aqueous medium;Jasim;J. Mol. Struct.,2022

5. Synthesis and evaluation of the antibacterial effect of titanium dioxide nanoparticles in comparison with ampicillin, colistin, and ertapenem on Staphylococcus aureus;Mahmoud;J. Pharm. Negat. Results,2019

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