Quantitative study of FORC diagrams in thermally corrected Stoner– Wohlfarth nanoparticles systems

Biasi, E. De; Curiale, J.; Zysler, R.D.

doi:10.1016/j.jmmm.2016.06.075

Cited by 10 publications

(6 citation statements)

References 28 publications

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“…FORC measurements were not attempted for seed powder, since pristine IO nanoparticles are magnetically soft, that is, anhysteretic, and therefore not relevant for FORC investigation. FORC is particularly well adapted to the characterization of magnetic anisotropy and interactions . They also represent a useful experimental method for investigating dipolar effects, particularly as a function of the microstructural characteristics (aggregation state, average crystal size, phase ratio, etc.).…”

Section: Resultsmentioning

confidence: 99%

Exchange‐Biased Fe₃₋_xO₄‐CoO Granular Composites of Different Morphologies Prepared by Seed‐Mediated Growth in Polyol: From Core–Shell to Multicore Embedded Structures

Franceschin

Gaudisson

Menguy

et al. 2018

Part & Part Syst Charact

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Magnetically contrasted granular hetero‐nanostructures are prepared by seed‐mediated growth in polyol, properly combining two oxide phases with different magnetic order, ferrimagnetic (F) partially oxidized magnetite Fe3−xO4 and antiferromagnetic (AF) cobalt oxide. Spinel Fe3−xO4 nanoparticles are first synthesized and then used as seeds for rock salt CoO nanocrystals growth. Three different hetero‐nanostructure designs are realized, acting on the content ratio between the seeds and the deposit's precursors during the synthesis. For all of them, the spinel and the rock salt phases are confirmed by X‐ray diffraction and high‐resolution transmission electron microscopy. Both phases are obtained in high‐crystalline quality with a net epitaxial relationship between the two crystallographic lattices. Mössbauer spectrometry confirms the cobalt cation diffusion into the spinel seeds, giving favorable chemical interfacing with the rock salt deposit, thus prevailing its heterogeneous nucleation and consequently offering the best condition for exchange‐bias (EB) onset. Magnetic measurements confirm EB features. The overall magnetic properties are found to be a complex interplay between dipolar interactions, exchange anisotropy at the F/AF interface, and magnetocrystalline anisotropy enhancement in the F phase, due to Co2+ diffusion into iron oxide's crystalline lattice. These results underline the powerfulness of colloidal chemistry for functional granular hetero‐nanostructured material processing.

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Section: Resultsmentioning

confidence: 99%

Exchange‐Biased Fe₃₋_xO₄‐CoO Granular Composites of Different Morphologies Prepared by Seed‐Mediated Growth in Polyol: From Core–Shell to Multicore Embedded Structures

Franceschin

Gaudisson

Menguy

et al. 2018

Part & Part Syst Charact

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“…The model used in this work is based on a previous one, in which the magnetic behavior of an ideal assembly of noninteracting NPs is described as a function of the external magnetic field and temperature [31]. We have successfully used this model in various situations: to study the effect of thermal fluctuations on the ferromagnetic resonance of superparamagnetic particle and blocked-particle systems [32] and to characterize the precision of firstorder-reversal-curve analysis for NP systems [33]. The model was also effectively used to describe MFH experiments; for example, to determine the influence of interparticle interactions in simple agglomerates dispersed in toluene [13] and on the intracellular medium [34].…”

Section: The Modelmentioning

confidence: 99%

“…The central idea is based on the fact that temperature plays two fundamental roles: on the one hand, it helps to invert the NP magnetic moment from one minimum to the other and, on the other hand, it is responsible for reducing the effective value of magnetization due to thermal fluctuations [31]. The fraction of NPs that invert their magnetic moment is given by the probability of finding a particle in the superparamagnetic regime L = 1 − exp(−τ m /τ ) [13,[31][32][33], where τ m is the measurement time and τ is the effective relaxation time. The effects of fluctuations on each energy minimum are calculated by the statistical averaging on the regions of the corresponding minimum [35,36].…”

Section: The Modelmentioning

confidence: 99%

Modeling the Magnetic-Hyperthermia Response of Linear Chains of Nanoparticles with Low Anisotropy: A Key to Improving Specific Power Absorption

et al. 2020

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The effect of magnetic interactions is a key issue for the performance of nanoparticles in magnetic fluid hyperthermia. There are reports informing on beneficial or detrimental effects in terms of the specific power absorption depending on the intrinsic magnetic properties and the spatial arrangement of the nanoparticles. To understand this effect, our model treats a simple system: an ensemble of identical nanoparticles arranged in an ideal chain with the easy axis of the effective uniaxial anisotropy of each particle aligned parallel to the chain. We study the magnetic relaxation of linear chains with low anisotropy in magnetic-fluid-hyperthermia experiments, a system that yields a larger hysteresis area than the noninteracting case (i.e., improved specific power absorption) for all orientations of the chain (even in the perpendicular configuration and the randomly oriented case). The most-favorable case is the chain parallel to the external field; however, we show that the incorporation of a dipolar-field component perpendicular to the external field is necessary for the correct modeling of chains nearly in the perpendicular configuration, which is not always done. The mechanism involved in the hysteresis-area increase can be interpreted as a shift between the local field and the applied field.

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“…As mentioned earlier, the FORC heat-maps have been broadly used as qualitative descriptions of MNWs magnetic signatures. For quantitative description, the heat-maps are projected onto the coercivity and interaction fields in order to calculate the coercivity and interaction field distributions, and to be used as quantitative signatures [ 106 , 107 ]. This detailed analysis of the FORC method has been known as a very powerful probe for analyzing the magnetic signatures of many complex MNW-based nanobarcodes.…”

Section: Why Magnetic Nanowires For Nanobarcodes?mentioning

confidence: 99%

Magnetic Nanowires for Nanobarcoding and Beyond

Kouhpanji

Stadler

2021

Sensors

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Multifunctional magnetic nanowires (MNWs) have been studied intensively over the last decades, in diverse applications. Numerous MNW-based systems have been introduced, initially for fundamental studies and later for sensing applications such as biolabeling and nanobarcoding. Remote sensing of MNWs for authentication and/or anti-counterfeiting is not only limited to engineering their properties, but also requires reliable sensing and decoding platforms. We review the latest progress in designing MNWs that have been, and are being, introduced as nanobarcodes, along with the pros and cons of the proposed sensing and decoding methods. Based on our review, we determine fundamental challenges and suggest future directions for research that will unleash the full potential of MNWs for nanobarcoding applications.

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Quantitative study of FORC diagrams in thermally corrected Stoner– Wohlfarth nanoparticles systems

Cited by 10 publications

References 28 publications

Exchange‐Biased Fe₃₋_xO₄‐CoO Granular Composites of Different Morphologies Prepared by Seed‐Mediated Growth in Polyol: From Core–Shell to Multicore Embedded Structures

Exchange‐Biased Fe₃₋_xO₄‐CoO Granular Composites of Different Morphologies Prepared by Seed‐Mediated Growth in Polyol: From Core–Shell to Multicore Embedded Structures

Modeling the Magnetic-Hyperthermia Response of Linear Chains of Nanoparticles with Low Anisotropy: A Key to Improving Specific Power Absorption

Magnetic Nanowires for Nanobarcoding and Beyond

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Quantitative study of FORC diagrams in thermally corrected Stoner– Wohlfarth nanoparticles systems

Cited by 10 publications

References 28 publications

Exchange‐Biased Fe3−xO4‐CoO Granular Composites of Different Morphologies Prepared by Seed‐Mediated Growth in Polyol: From Core–Shell to Multicore Embedded Structures

Exchange‐Biased Fe3−xO4‐CoO Granular Composites of Different Morphologies Prepared by Seed‐Mediated Growth in Polyol: From Core–Shell to Multicore Embedded Structures

Modeling the Magnetic-Hyperthermia Response of Linear Chains of Nanoparticles with Low Anisotropy: A Key to Improving Specific Power Absorption

Magnetic Nanowires for Nanobarcoding and Beyond

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Product

Resources

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Exchange‐Biased Fe₃₋_xO₄‐CoO Granular Composites of Different Morphologies Prepared by Seed‐Mediated Growth in Polyol: From Core–Shell to Multicore Embedded Structures

Exchange‐Biased Fe₃₋_xO₄‐CoO Granular Composites of Different Morphologies Prepared by Seed‐Mediated Growth in Polyol: From Core–Shell to Multicore Embedded Structures