Use of a Sigmoid Function to Describe Second Peak in Magnetization Loops

Gokhfeld, D. M.

doi:10.1007/s10948-017-4400-2

Cited by 5 publications

(1 citation statement)

References 34 publications

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“…The sigmoidal–Boltzmann (SB) model was reportedly employed for the study of spreading of COVID-19 virus waves [ 24 ]. In addition to it, it has also been used for understanding the energy bandgap of semiconductors [ 25 ], applicability of atmospheric pressure plasma jets in medicine [ 26 ] and modelling of chemical parameter in pseudo-binary alloys from the shift of the X-ray Bragg’s angle [ 27 ] and in describing the second peak in magnetization loops [ 28 ], etc.…”

Section: Determination Of Percolation Threshold Of Permittivitymentioning

confidence: 99%

Effect of carbons’ structure and type on AC electrical properties of polymer composites: predicting the percolation threshold of permittivity through different models

Rahaman

Gupta²,

Hossain

et al. 2023

Colloid Polym Sci

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The AC electrical properties of EVA- and NBR-based composites filled with different conductive fillers were investigated. Result shows several magnitudes of increment in AC electrical conductivity and dielectric permittivity after the addition of these conductive fillers, indicating that these materials can be used as supercapacitors. The magnitude of increment was varied according to polymer and filler types. Herein, we also have tested the applicability of different sigmoidal models to find out the percolation threshold value of permittivity for these binary polymer composite systems. It is observed that except sigmoidal–Boltzmann and sigmoidal–dose–response models, other sigmoidal models exhibit different values of percolation threshold when considered for any particular polymer composite system. The paper discusses the variation in results of percolation threshold with an emphasis on the advantages, disadvantages and limitations of these models. We also have applied the classical percolation theory to predict the percolation threshold of permittivity and compared with all the reported sigmoidal models. To judge the unanimous acceptability of these models, they tested vis-à-vis the permittivity results of various polymer composites reported in published literature. To comprehend, all the models except the sigmoidal–logistic-1 model were successfully applicable for predicting the percolation threshold of permittivity for polymer composites. Supplementary Information The online version contains supplementary material available at 10.1007/s00396-023-05120-2.

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Section: Determination Of Percolation Threshold Of Permittivitymentioning

confidence: 99%

Effect of carbons’ structure and type on AC electrical properties of polymer composites: predicting the percolation threshold of permittivity through different models

Rahaman

Gupta²,

Hossain

et al. 2023

Colloid Polym Sci

View full text Add to dashboard Cite

show abstract

New model to predict thermomagnetic properties of nanostructured magnetic compounds

Gokhfeld,

Koblischka,

Koblischka-Veneva

2024

Appl. Phys. A

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The development of new materials showing the magneto-caloric effect (MCE) requires fast and reliable characterization methods. For this purpose, a phenomenological model developed by M. A. Hamad has proven to be a useful tool to predict the magnetocaloric properties (the isothermal magnetic entropy change, $$\Delta S_\textrm{M}$$ Δ S M , the magnetization-related change of the specific heat, $$\Delta C_{P,H}$$ Δ C P , H , and the relative cooling power, RCP) via calculation from magnetization measurements as a function of temperature, M(T). However, fitting the M(T) data is difficult for broad, smoothed-out transition curves which are often observed for material systems such as core-shell nanoparticles, nanowires, nanowire fabrics or nanoparticle hybrid materials. Thus, in this contribution we present a different approach enabling proper fitting of such magnetization data via the use of an asymmetric Boltzmann sigmoid function, which provides a clear physical background and enables to properly describe the broad and smoothed out transitions of nanomaterials. As examples for our procedure, we present fits to M(T) curves of polycrystalline, bulk $$\hbox {La}_{0.67}\hbox {Ba}_{0.33}\hbox {MnO}_3$$ La 0.67 Ba 0.33 MnO 3 as well as $$\hbox {La}_{1-x}\hbox {Sr}_{x}\hbox {MnO}_3$$ La 1 - x Sr x MnO 3 ($$x=$$ x = 0.2, 0.3, 0.4) and $$\hbox {La}_{0.7}\hbox {Ca}_{0.3}\hbox {MnO}_3$$ La 0.7 Ca 0.3 MnO 3 nanostructured materials from various authors.

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A Practical Processing Method for the Fabrication of NdBCO Seed Crystals and High-Performance Single-Domain GdBCO Bulk Superconductors

Feng

Yang

et al. 2020

J Supercond Nov Magn

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Use of a Sigmoid Function to Describe Second Peak in Magnetization Loops

Cited by 5 publications

References 34 publications

Effect of carbons’ structure and type on AC electrical properties of polymer composites: predicting the percolation threshold of permittivity through different models

Effect of carbons’ structure and type on AC electrical properties of polymer composites: predicting the percolation threshold of permittivity through different models

New model to predict thermomagnetic properties of nanostructured magnetic compounds

A Practical Processing Method for the Fabrication of NdBCO Seed Crystals and High-Performance Single-Domain GdBCO Bulk Superconductors

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