Prediction of Hysteresis Loop of Barium Hexaferrite Nanoparticles Based on Neuroevolutionary Models

Neuroevolutionary models are used to predict magnetic hysteresis for barium hexaferrites (to predict magnetic hysteresis for barium hexaferrites). Magnetic hysteresis for a specific set of samples of barium hexaferrite doped with titanium were measured experimentally at room temperature and reported before. Neural networks are trained using these experimental data in order to generate magnetization and predict magnetic hysteresis for various concentrations of titanum. We present the prediction for various methods of neural calculations and the deviations from actual data results were negligible. Finally, the predictions of magnetic hysteresis are summerized for the titanume concentration between 0.0 and 1.0.

Download Full-text

The inverted hysteresis loops and exchange bias effects in amorphous/nanocrystalline Fe72Cu1V4Si15B8 ribbons at room temperature

Science of Sintering ◽

10.2298/sos2003283s ◽

2020 ◽

Vol 52 (3) ◽

pp. 283-298

Author(s):

Radoslav Surla ◽

Nebojsa Mitrovic ◽

Milica Vasic ◽

Dragica Minic

Keyword(s):

Hysteresis Loop ◽

Exchange Bias ◽

Room Temperature ◽

Structural Changes ◽

Annealing Temperature ◽

Magnetic Hysteresis ◽

Hysteresis Loops ◽

Nanocrystalline Structure ◽

Bias Field ◽

Thermally Induced

?he influence of thermally induced microstructural transformations on magnetic properties of Fe72Cu1V4Si15B8 ribbon with combined amorphous/nanocrystalline structure is presented. The experiments showed that thermally induced structural changes are in correlation with the appearance of magnetic hysteresis, i.e. with inverted hysteresis loops (IHL) and exchange bias (EB) effects. It was found that the ratio of surface to volume of a ribbon sample have an influence on hysteresis loop appearance. The inverted hysteresis loops were observed for the 1.5 mm wide and 55 ?m thick alloy samples shorter than 10 mm, but for the samples longer than 10 mm hysteresis loops were normal. With an increase of annealing temperature, a shift of the hysteresis loops measured at room temperature was noticed. The highest positive exchange bias field Heb was observed for the sample annealed at 723 K, together with the lowest magnetic field at which the changes from inverted to normal hysteresis loop occurred. Annealing at the temperature of 823 K resulted in negative Heb.

Download Full-text

Evidence for ordered Fe3Ni

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100125981 ◽

1987 ◽

Vol 45 ◽

pp. 216-217

Author(s):

K.B. Reuter ◽

D.B. Williams ◽

J.I. Goldstein

Keyword(s):

Experimental Data ◽

Martensitic Transformation ◽

Electron Diffraction ◽

Room Temperature ◽

Direct Evidence ◽

Transformation Product ◽

Iron Meteorites ◽

X Ray ◽

Ni Content ◽

Temperature Transformation

In the Fe-Ni system, although ordered FeNi and ordered Ni3Fe are experimentally well established, direct evidence for ordered Fe3Ni is unconvincing. Little experimental data for Fe3Ni exists because diffusion is sluggish at temperatures below 400°C and because alloys containing less than 29 wt% Ni undergo a martensitic transformation at room temperature. Fe-Ni phases in iron meteorites were examined in this study because iron meteorites have cooled at slow rates of about 10°C/106 years, allowing phase transformations below 400°C to occur. One low temperature transformation product, called clear taenite 2 (CT2), was of particular interest because it contains less than 30 wtZ Ni and is not martensitic. Because CT2 is only a few microns in size, the structure and Ni content were determined through electron diffraction and x-ray microanalysis. A Philips EM400T operated at 120 kV, equipped with a Tracor Northern 2000 multichannel analyzer, was used.

Download Full-text

Identifying nonclassicality from experimental data using artificial neural networks

Physical Review Research ◽

10.1103/physrevresearch.3.023229 ◽

2021 ◽

Vol 3 (2) ◽

Author(s):

Valentin Gebhart ◽

Martin Bohmann ◽

Karsten Weiher ◽

Nicola Biagi ◽

Alessandro Zavatta ◽

...

Keyword(s):

Experimental Data ◽

Neural Networks ◽

Artificial Neural Networks ◽

Artificial Neural

Download Full-text

Weak ferromagnetic response in PbZr1−xTixO3 single crystals

Journal of Materials Chemistry C ◽

10.1039/c9tc03710a ◽

2019 ◽

Vol 7 (36) ◽

pp. 11085-11089

Author(s):

Iwona Lazar ◽

Monika Oboz ◽

Jerzy Kubacki ◽

Andrzej Majchrowski ◽

Julita Piecha ◽

...

Keyword(s):

Hysteresis Loop ◽

Single Crystals ◽

Room Temperature ◽

Ferromagnetic Hysteresis ◽

First Time ◽

Ferromagnetic Hysteresis Loop ◽

Weak Ferromagnetic

For the first time, a weak ferromagnetic hysteresis loop at room temperature has been observed in PbZr1−xTixO3 (PZT) single crystals.

Download Full-text

Accurate Modeling of Complex Antitoxin Effect of Quercetin Based on Neural Networks

International Journal of Bifurcation and Chaos ◽

10.1142/s0218127419500135 ◽

2019 ◽

Vol 29 (01) ◽

pp. 1950013 ◽

Cited By ~ 1

Author(s):

Changju Yang ◽

Entaz Bahar ◽

Hyonok Yoon ◽

Hyongsuk Kim

Keyword(s):

Experimental Data ◽

Neural Networks ◽

Artificial Neural Networks ◽

Secondary Metabolites ◽

Hela Cell ◽

Protective Effect ◽

Nonlinear Modeling ◽

Inflammatory Activity ◽

High Complexity ◽

Anti Oxidant

A nonlinear modeling of the protective effect of Quercetin (QCT) against various Mycotoxins (MTXs) has a high complexity and is conducted using artificial neural networks (ANNs). QCT is known to possess strong anti-oxidant, anti-inflammatory activity that can prevent many diseases. MTXs are highly toxic secondary metabolites that are capable of causing disease and death in humans and animals. The protective model of QCT against various MTXs (Citrinin, Patulin and Zearalenol) on HeLa cell is built accurately via learning of sparsely measured experimental data by the ANNs. It has shown that the neuro-model can predict the nonlinear protective effect of QCT against MTX-induced cytotoxicity for the measurement of percentage of inhibition of MTXs.

Download Full-text

Correlation between Anomalous Peak Effect in Magnetic Hysteresis Loop and Nanoscale Structure forNdBa2Cu3O7-δSingle-Crystal Superconductor

Japanese Journal of Applied Physics ◽

10.1143/jjap.35.3882 ◽

1996 ◽

Vol 35 (Part 1, No. 7) ◽

pp. 3882-3886 ◽

Cited By ~ 17

Author(s):

Masaru Nakamura ◽

Tsukasa Hirayama ◽

Yasuji Yamada ◽

Yuichi Ikuhara ◽

Yuh Shiohara

Keyword(s):

Hysteresis Loop ◽

Magnetic Hysteresis ◽

Magnetic Hysteresis Loop ◽

Peak Effect ◽

Anomalous Peak ◽

Nanoscale Structure

Download Full-text

Photo-induced bias of the hysteresis loop in ferrites at room temperature with long-time memory

Journal of Magnetism and Magnetic Materials ◽

10.1016/j.jmmm.2009.03.038 ◽

2009 ◽

Vol 321 (17) ◽

pp. 2550-2555

Author(s):

E.Z. Katsnelson ◽

M.M. Chervinsky

Keyword(s):

Hysteresis Loop ◽

Room Temperature ◽

Long Time

Download Full-text

Lead inclusions in aluminium

MRS Proceedings ◽

10.1557/proc-157-247 ◽

1989 ◽

Vol 157 ◽

Cited By ~ 6

Author(s):

E. Johnson ◽

L. Gråbaek ◽

J. Bohr ◽

A. Johansen ◽

L. Sarholt-Kristensen ◽

...

Keyword(s):

Hysteresis Loop ◽

Room Temperature ◽

Noble Gas ◽

Melting Transition ◽

X Ray Diffraction ◽

Free Surfaces ◽

The Matrix ◽

Mean Size ◽

The Mean ◽

Spontaneous Phase

ABSTRACTIon implantation at room temperature of lead into aluminium leads to spontaneous phase separation and formation of lead precipitates growing topotactically with the matrix. Unlike the highly pressurised (∼ 1–5 GPa) solid inclusions formed after noble gas implantations, the pressure in the lead precipitates is found to be less than 0.12 GPa.Recently we have observed the intriguing result that the lead inclusions in aluminium exhibit both superheating and supercooling [1]. In this paper we review and elaborate on these results. Small implantation-induced lead precipitates embedded in an aluminium matrix were studied by X-ray diffraction. The (111) Bragg peak originating from the lead crystals was followed during several temperature cycles, from room temperature to 678 K. The melting temperature for bulk lead is 601 K. In the first heating cycle we found a superheating of the lead precipitates of 67 K before melting occurred. During subsequent cooling a supercooling of 21 K below the solidification point of bulk lead was observed. In the subsequent heating cycles this hysteresis at the melting transition was reproducible. The full width of the hysteresis loop slowly decreased to 62 K, while the mean size of the inclusions gradually increased from 14.5 nm to 27 nm. The phenomena of superheating and supercooling are thus most pronounced for the small crystallites. The persistence of the hysteresis loop over successive heating cycles demonstrate that its cause is intrinsic in nature, and it is believed that the superheating originates from the lack of free surfaces of the lead inclusions.

Download Full-text