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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Bohra, Murtaza
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Topics
Publications (9/9 displayed)
- 2024Analytical modeling of magnetocaloric effect in dense nanoparticle systemscitations
- 2022Synthesis and characterization of nanosized ZnFe2O4 powders obtained by sonochemistry
- 2022Multiple spintronic functionalities into single zinc-ferrous ferrite thin filmscitations
- 2021Nanostructured ZnFe2O4: An Exotic Energy Materialcitations
- 2020Growth, structure and thermal stability of quasicrystalline Al-Pd-Mn-Ga thin films.citations
- 2016Control of Surface Segregation in Bimetallic NiCr Nanoalloys Immersed in Ag Matrixcitations
- 2015Surface segregation in chromium-doped NiCr alloy nanoparticles and its effect on their magnetic behaviorcitations
- 2014Influence of packaging on the surface oxidation and magnetic properties of cobalt nanocrystalscitations
- 2013Structural, tribological and resistivity studies of Ga substituted (Al71-xGax) Pd21Mn8 icosahedral and other intermetallic phasescitations
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article
Analytical modeling of magnetocaloric effect in dense nanoparticle systems
Abstract
<jats:title>Abstract</jats:title><jats:p>Determining the magnetocaloric effect (MCE) in dense nanoparticle systems (DNSs) poses a challenge due to the increased complexity of matter at the nanoscale. Given the interparticle magnetic interactions, diverse particle size and shape distributions, and the presence of inhomogeneous magnetic phases, selecting a suitable phenomenological model is essential to describe the temperature dependence of magnetic behavior in DNSs. Herein, we chose a cost‐effective Ni<jats:sub>100‐x</jats:sub>Cr<jats:sub>x</jats:sub> DNS with adjustable magnetic transitions to showcase the resilience of the MCE across a broad temperature range (147–614 K). While the <jats:italic>hyperbolic tangent</jats:italic> model appears more fitting for materials with a single Curie temperature (<jats:italic>T</jats:italic><jats:sub>C</jats:sub>), such as its parent bulk alloys, in the presence of a <jats:italic>T</jats:italic><jats:sub>C</jats:sub> distribution a <jats:italic>Gaussian distribution</jats:italic> model proves to be better suited for DNSs. The latter model yields a magnetic entropy change, Δ<jats:italic>S</jats:italic><jats:sub>max</jats:sub> = 0.09–0.15 J kg‐K<jats:sup>−1</jats:sup> in the DNS at a tiny field of 0.1T. The correlations between the broadening of the MCE peak and <jats:italic>T</jats:italic><jats:sub>C</jats:sub> distribution are attributed to the particle size distribution and chemical inhomogeneity present in the DNS, paving the way for fine‐tuning MCE‐related properties such as the relative cooling power (13.17–33.45 J kg<jats:sup>−1</jats:sup>) and adiabatic temperature change (0.03–0.17 K). Our methodology not only enhances the potential for designing innovative MCE materials with broader operating ranges but also validates the universality of our phenomenological model for other families of nanocrystalline/nanogranular oxides/alloys thin films.</jats:p>