Y3+ substituted Sr-hexaferrites: sol-gel synthesis, structural, magnetic and electrical characterization

Satpute, S.S.; Wadgane, Santosh R.; Kadam, Suresh; Mane, D.R.; Kadam, R.H.

doi:10.1590/0366-69132019653742582

Cited by 15 publications

(8 citation statements)

References 22 publications

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“…[14,27] Unit cell volume for V 0.866a c = . [28] The decreasing value of cell volume from 47.599 to 47.567 Å 3 is attributed to the lattice parameters 'a' and 'c'. The distortion factor 'u' was computed by putting the lattice constants in the following relation: [29] 2…”

Section: Resultsmentioning

confidence: 98%

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Synthesis, Structural, Magnetic, Dielectric and Optical Properties of Co Doped Cr-Zn Oxide Nanoparticles for Spintronic Devices

Balsure¹,

More²,

Kadam³

et al. 2022

Eng. Sci.

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Dilute magnetic semiconductor (DMS) nanoparticles of Co doped Zn0.95Cr0.05O were synthesized by sol-gel auto-combustion technique. Crystallographic analysis was made by using X-ray diffraction (XRD) technique. Rietveld refined X-ray diffraction patterns confirm the single phase wurtzite type crystal structure with space group p63mc. Replacement of larger Zn 2+ ions by smaller Co 2+ reduces the lattice parameters 'a' and 'c'. Average crystallite estimated from Scherrer equation is found increasing from 17.6 to 22.0 nm with the addition of Co 2+ ions.Scanning electron micrographs (SEM) were used to understand the surface morphology of the samples. Average grain size obtained from SEM analysis is observed in the range 22.1 to 26.5 nm. Enriched ferromagnetism is observed for Co 2+ doped samples and the saturation magnetization increases from 0.0514 to 0.1026 emu/gm. At lower frequency region both dielectric constant () and dielectric loss tangent (tan ) have higher values and decreases with increasing frequency and becomes almost constant at higher frequency region. Energy band gap (Eg) is decreases from 3.26 to 2.69 eV with the addition of Co 2+ ions in Zn-Cr oxides. Enriched ferromagnetism and higher dielectric constant at low frequency make these materials suitable for spintronic devices.

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Section: Resultsmentioning

confidence: 98%

“…The fractional reduction in distortion factor is analogues with the variation in lattice parameters. FWHM values of intensive peaks were considered for the evaluation of average crystallite size of the particles by using Debye-Scherrer equation: [28] avg B 0.9 t Cos…”

Section: Resultsmentioning

confidence: 99%

Synthesis, Structural, Magnetic, Dielectric and Optical Properties of Co Doped Cr-Zn Oxide Nanoparticles for Spintronic Devices

Balsure¹,

More²,

Kadam³

et al. 2022

Eng. Sci.

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“…The other reason for a decrease in saturation magnetization in La substituted Ca hexaferrite as compared to Ni substituted Ca hexaferrite is that a substituted Ni is ferromagnetic material while La is a nonmagnetic material. Satpute et al [44] and Dahotre and Singh [45] observed that with non-magnetic material substitution the saturation magnetization decreases. Nandotaria et al [8] also reported a sharp decrease in saturation magnetization of Mg substituted M-type Sr-Cu hexaferrite nanoparticles, where Mg 2+ ion replaces Cu 2+ ion.…”

Section: Resultsmentioning

confidence: 99%

Comparative study of structural and magnetic properties of Ni and La substituted calcium hexaferrite

Shinde¹,

Dahotre

2021

Cerâmica

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Ni and La substituted M-type Ca hexaferrite of composition CaNi 1 Fe 11 O 19 and CaLa 1 Fe 11 O 19 were synthesized by sol-gel auto combustion method using metal nitrates as oxidants and citric acid as reducing agent. The prepared samples were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), energy dispersive X-ray analysis (EDAX), and vibrating sample magnetometry (VSM). XRD study revealed that both samples had lattice parameters a and c within the range of M-type hexaferrite. The SEM micrographs displayed grains having irregular shapes and sizes in the nanometer range. FTIR peaks confirmed the structure of M-type hexaferrite. EDAX spectra showed the homogeneous distribution of ions in both samples. In CaNi 1 Fe 11 O 19 , we found saturation magnetization (M s ) of 12.18 emu/g and coercivity (H c ) of 193.2 Oe. On the other hand, in CaLa 1 Fe 11 O 19 , we found M s of 0.55 emu/g and H c of 404.4 Oe. Saturation magnetization and coercivity values obtained for La substituted M-type Ca hexaferrite are suitable for low-density magnetic recording devices.

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“…In addition, a way that can limit the search in the better regions to more accurate results is grid search. This approach was executed by searching and selecting the option with maximum correlation and minimum error in the present study to identify the optimal candidates in the following region 10 (16)…”

Section: Selection Of Model Optimal Parametersmentioning

confidence: 99%

“…It should be noted that such parameters describe the magnetic properties of the ferrites. [9][10][11][12][13][14][15] Clearly, discovering new properties and optimizing them is time and cost consuming and requires various research. As mentioned, the magnetic properties of ferrites are affected by parameters with complex interactions.…”

Section: Introductionmentioning

confidence: 99%

Implementing Machine Learning in Laboratory Synthesis by Hybrid of SVR Model and Optimization Algorithms

Pourashraf

Shokri²,

Yousefi

et al. 2021

Advcd Theory and Sims

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Numerous studies have been performed to modify ferrites to achieve the desired magnetic properties for the intended applications. Many variables with interactions between themselves are involved in modifying these properties. This study aims to provide an accurate and effective method for predicting the magnetic properties of M‐type ferrites under the influence of involved variables. For this purpose, ferrites are synthesized by doping 17 different ions and the results of the analysis of samples form the experimental data. The support vector regression (SVR) model is selected for prediction and in order to optimize hyper parameters, genetic, particle swarm optimization, and sequential minimal optimization techniques are used. Based on the comparison between the outcomes of these algorithms, the model with the best performance is used to predict coercivity and residual magnetism in M‐type magnetic ferrites. Furthermore, with the cross validation technique, the accuracy and robustness of the model designed for new samples are evaluated. The results show that the selected SVR model, with an average absolute relative error of 2% and 0.7%, is able to predict coercivity and residual magnetism, respectively. Consequently, the prediction method presented has the capability to accelerate and develop the modification of magnetic properties for different applications.

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Y3+ substituted Sr-hexaferrites: sol-gel synthesis, structural, magnetic and electrical characterization

Cited by 15 publications

References 22 publications

Synthesis, Structural, Magnetic, Dielectric and Optical Properties of Co Doped Cr-Zn Oxide Nanoparticles for Spintronic Devices

Synthesis, Structural, Magnetic, Dielectric and Optical Properties of Co Doped Cr-Zn Oxide Nanoparticles for Spintronic Devices

Comparative study of structural and magnetic properties of Ni and La substituted calcium hexaferrite

Implementing Machine Learning in Laboratory Synthesis by Hybrid of SVR Model and Optimization Algorithms

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