Modeling magnetocaloric effect of doped EuTiO3 perovskite for cooling technology using swarm intelligent based support vector regression computational method

TO Owolabi - Materials Today Communications, 2023 - Elsevier
This work develops particle swarm optimization based support vector regression (PSVR)
algorithm for predicting maximum magnetic entropy change using ionic radii of the …

Modeling the magnetic cooling efficiency of spinel ferrite magnetocaloric compounds for magnetic refrigeration application using hybrid intelligent computational …

A Alqahtani, S Saliu, TO Owolabi, N Aldhafferi… - Materials Today …, 2022 - Elsevier
Spinel ferrite exhibits large magnetocaloric effect that promotes its candidature for solid state
magnetic refrigeration technology. This method of cooling is promising and can conveniently …

Modeling the magnetocaloric effect of spinel ferrites for magnetic refrigeration technology using extreme learning machine and genetically hybridized support vector …

WA Oke, N Aldhafferi, S Saliu, TO Owolabi… - Cogent …, 2023 - Taylor & Francis
Spinel ferrites are magnetic oxide materials with potentials to promote green technology in
magnetic refrigeration which is known to be economically clean, energy saving and efficient …

Elemental compositional modeling of magnetic ordering temperature for spinel ferrite magnetocaloric compounds using intelligent algorithms

M Souiyah - Cogent Engineering, 2023 - Taylor & Francis
Spinel ferrite recently attracted attention for possible application in magnetic refrigeration
due to its noticeable high magnetocaloric effect and tunable magnetic ordering temperature …

Magnetocaloric effect modeling of dysprosium-transition metal based intermetallic alloys for magnetic refrigeration application using hybrid genetic algorithm based …

SM Ibn Shamsah - Plos one, 2024 - journals.plos.org
Intermetallic alloy containing rare earth dysprosium ions with the associated unfilled 4f shell
electrons and sub-lattice of 3d-transition metal, results into fascinating magnetic properties …

Extreme learning machine computational method of modeling energy gap of doped zinc selenide nano-material semiconductor

N Aldhafferi - Materials Today Communications, 2022 - Elsevier
Zinc selenide (ZnSe) semiconductor belongs to a class of wide energy gap material with low
visible region optical absorption, high optical coefficient (nonlinear) and fascinating …

Modeling magnetic refrigeration capacity of doped EuTiO3 magnetocaloric compounds using swarm based intelligent computational method

JI Agbi, TO Owolabi, DD Abajiigin, SMI Shamsah… - Physica B: Condensed …, 2024 - Elsevier
This work models the magnetic refrigeration capacity (MRC) of doped europium titanate
(EuTiO 3) at different applied magnetic field using hybrid particle swarm optimization based …

Modeling Temperature-Dependent Thermoelectric Performance of Magnesium-Based Compounds for Energy Conversion Efficiency Enhancement Using Intelligent …

SM Ibn Shamsah - Inorganics, 2024 - mdpi.com
Eco-friendly magnesium-based thermoelectric materials have recently attracted significant
attention in green refrigeration technology and wasted heat recovery applications due to …

New Method for Preparation ZnSe Nanoparticles and Application as Antibacterial Agent

KA Mohammed, HK Judi, G Ramu… - International …, 2024 - ui.adsabs.harvard.edu
Nanoparticles of zinc selenide (ZnSe) were produced by an innovative, uncomplicated, and
extremely rapid process that took no longer than a few seconds. For the production of zinc …