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Structural, microstructural, ferroelectric, and magnetoelectrical evaluation of (1-x)(Ba0.85Ca0.15)(Zr0.1Ti0.9)O3-xNi0.6Zn0.4Fe2O4 composites.

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Title: Structural, microstructural, ferroelectric, and magnetoelectrical evaluation of (1-x)(Ba0.85Ca0.15)(Zr0.1Ti0.9)O3-xNi0.6Zn0.4Fe2O4 composites.
Authors: Nishi, E. M.1 (AUTHOR), Castro, M.1 (AUTHOR) mcastro@fi.mdp.edu.ar, Camargo, J.1 (AUTHOR) jcamargo@fi.mdp.edu.ar
Source: Journal of Materials Science: Materials in Electronics. Dec2025, Vol. 36 Issue 36, p1-19. 19p.
Abstract: This study investigates the structural, microstructural, and functional properties of (1 − x)(Ba0.85Ca0.15)(Zr0.1Ti0.9)O3–xNi0.6Zn0.4Fe2O4 (x = 0, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, and 1) ceramic samples synthesized via the solid-state reaction method. X-ray diffraction (XRD) and Raman spectroscopy confirmed the coexistence of perovskite (BCZT) and spinel (NZF) phases, while diffusion of elements was observed through energy-dispersive X-ray spectroscopy (EDS). This diffusion led to an increase in the Curie temperature of the perovskite phase with the addition of ferrite. Dielectric relaxation shifted to lower temperatures with increasing NZF content, whereas the magnetoelectric coupling coefficient (αME) increased, reaching up to 1.24 mV/cm·Oe for 0.6BCZT–0.4NZF under a 32 Oe AC field. This work highlights the role of phase interactions in tuning multifunctional properties, positioning these composites as promising candidates for magnetoelectric sensors and energy conversion devices. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Materials Science: Materials in Electronics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Structural, microstructural, ferroelectric, and magnetoelectrical evaluation of (1-x)(Ba<subscript>0.85</subscript>Ca<subscript>0.15</subscript>)(Zr<subscript>0.1</subscript>Ti<subscript>0.9</subscript>)O<subscript>3</subscript>-xNi<subscript>0.6</subscript>Zn<subscript>0.4</subscript>Fe<subscript>2</subscript>O<subscript>4</subscript> composites.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Materials+Science%3A+Materials+in+Electronics%22">Journal of Materials Science: Materials in Electronics</searchLink>. Dec2025, Vol. 36 Issue 36, p1-19. 19p.
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  Label: Abstract
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  Data: This study investigates the structural, microstructural, and functional properties of (1 − x)(Ba0.85Ca0.15)(Zr0.1Ti0.9)O3–xNi0.6Zn0.4Fe2O4 (x = 0, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, and 1) ceramic samples synthesized via the solid-state reaction method. X-ray diffraction (XRD) and Raman spectroscopy confirmed the coexistence of perovskite (BCZT) and spinel (NZF) phases, while diffusion of elements was observed through energy-dispersive X-ray spectroscopy (EDS). This diffusion led to an increase in the Curie temperature of the perovskite phase with the addition of ferrite. Dielectric relaxation shifted to lower temperatures with increasing NZF content, whereas the magnetoelectric coupling coefficient (αME) increased, reaching up to 1.24 mV/cm·Oe for 0.6BCZT–0.4NZF under a 32 Oe AC field. This work highlights the role of phase interactions in tuning multifunctional properties, positioning these composites as promising candidates for magnetoelectric sensors and energy conversion devices. [ABSTRACT FROM AUTHOR]
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  Label:
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  Data: <i>Copyright of Journal of Materials Science: Materials in Electronics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Dec2025
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