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 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 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 …

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 …

Relative cooling power modeling of RE2TM2Y ternary intermetallic rare-earth-based magnetocaloric compounds for magnetic refrigeration application using extreme …

SMI Shamsah - International Journal of Refrigeration, 2024 - Elsevier
Ternary intermetallic rare-earth-based magnetocaloric compounds (RE 2 TM 2 Y, where
RE= Gd, Tb, Dy, Ho, Er, Tm, TM= Ni, Cu, Co and Y= Sn, In, Cd, Ga, Al) have attracted …

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 …

[HTML][HTML] Thermal Conductivity Modeling for Liquid-Phase-Sintered Silicon Carbide Ceramics Using Machine Learning Computational Methods

SM Ibn Shamsah - Crystals, 2025 - mdpi.com
Silicon carbide is a covalently bonded engineering material and structural ceramic with
excellent mechanical properties, high resistance to oxidation, corrosion, and wear, and …

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 …

Refrigeration capacity modeling of europium titanate based magnetocaloric compounds using computational single hidden layer intelligent and random forest …

AB Adebayo, TO Owolabi, U Taura… - Journal of Solid State …, 2024 - Elsevier
Europium titanate (EuTiO3) is a quantum para-electric magnetocaloric compound with
potential application in green magnetic cooling technology. Super-exchange and indirect …