Machine learning the magnetocaloric effect in manganites from lattice parameters

Y Zhang, X Xu - Applied Physics A, 2020 - Springer
Efficient solid-state refrigeration techniques have drawn increasing attention due to their
potential for improving energy efficiency of refrigeration temperature control systems without …

[HTML][HTML] Machine learning the magnetocaloric effect in manganites from compositions and structural parameters

Y Zhang, X Xu - AIP Advances, 2020 - pubs.aip.org
Solid-state refrigeration techniques have drawn increasing attention due to their potential for
improving the energy efficiency of refrigeration and temperature-control systems without …

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 …

Structural, magnetic, magnetocaloric, investigations on La0. 8− xKxSr0. 2Mn0. 95Ni0. 05O3 (x= 0.05, 0.10 and 0.15) at room temperature

Z Xie, W Zhang, Z Zou, X Jiang - Journal of Magnetism and Magnetic …, 2022 - Elsevier
This paper investigated the effect of A-site doping K+ on the structural, morphological, and
magnetic properties of La 0.8 Sr 0.2 Mn 0.95 Ni 0.05 O 3. La 0.8-x K x Sr 0.2 Mn 0.95 Ni 0.05 …

Role of nickel substitution in the structural, magnetic properties, and magnetocaloric effect in La0.67Ba0.22Sr0.11Mn0.95Ni0.05O3 sample

R Chaabouni, M Ellouze, EK Hlil, R Masrour… - Journal of Materials …, 2022 - Springer
This paper presents a depth study of structural, magnetic, magnetocaloric effects, and critical
behavior of the La0. 67Ba0. 22Sr0. 11Mn0. 95Ni0. 05O3 manganite compound. This …

Investigation of structural, electrical and dielectric properties of sol-gel prepared La0. 67-xEuxBa0. 33Mn0. 85Fe0. 15O3 (x= 0.0, 0.1) manganites

W Ncib, ABJ Kharrat, MA Wederni… - Journal of Alloys and …, 2018 - Elsevier
Abstract Polycrystalline samples of La 0.67-x Eu x Ba 0.33 Mn 0.85 Fe 0.15 O 3 (x= 0.0, 0.1)
manganites have been prepared using sol-gel route. Structural characterizations of our …

Modeling the maximum magnetic entropy change of doped manganite using a grid search-based extreme learning machine and hybrid gravitational search-based …

SMI Shamsah, TO Owolabi - Crystals, 2020 - mdpi.com
The thermal response of a magnetic solid to an applied magnetic field constitutes
magnetocaloric effect. The maximum magnetic entropy change (MMEC) is one of the …

[HTML][HTML] Modeling the magnetocaloric effect of manganite using hybrid genetic and support vector regression algorithms

TO Owolabi - Physics Letters A, 2019 - Elsevier
Large magnetocaloric effect demonstrated by manganite-based compounds has advanced
the possibility of practical implementation of magnetic refrigeration technology. In order to …

Synthesis, structural characterization, electric and dielectric properties of Pr0. 67Ba0. 22Sr0. 11Mn0. 925Ni0. 075O3 perovskite for thermal energy storage

K Snini, M Akyol, M Ellouze, L El Mir, F Ghribi… - Journal of Alloys and …, 2021 - Elsevier
The interest in renewable energy sources grows rapidly and necessities evolved materials.
In this setting, we prepared the Pr 0.67 Ba 0.22 Sr 0.11 Mn 0.975 Ni 0.025 O 3 compound …

Structural, AC conductivity, conduction mechanism and dielectric properties of La0.62Eu0.05Ba0.33Mn0.85Fe0.15O3 ceramic compound

W Ncib, A Ben Jazia Kharrat, M Saadi… - Journal of Materials …, 2019 - Springer
The new perovskite compound La 0.62 Eu 0.05 Ba 0.33 Mn 0.85 Fe 0.15 O 3 was
successfully synthesized via the sol–gel process. X-ray diffraction revealed that our sample …