Performance Analysis of Ni3GeFe2 / Fe3GeTe2 Composites as Ferromagnetic Layer in MTJ Memory Devices

Chettri, Bibek; Sharma, Bindiya; Thapa, Abinash; Chettri, Pronita; Sharma, Bikash

doi:10.1109/vlsidcs47293.2020.9179854

Cited by 3 publications

(1 citation statement)

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“…Among the different types of nanomaterials, Fe 3 O 4 is widely used in spintronic applications owing to its half-metallic nature and high polarization at room temperature (27 • C) [49]. Magnetic materials are The band gap between the conduction and valence bands is defined as the energy band gap in the MTJ [50]. Moreover, the conduction band consists of free electrons, which are responsible for current conduction, and the valence band consists of holes.…”

Section: Design Of Mos 2 -Mtjmentioning

confidence: 99%

Design of behavior prediction model of molybdenum disulfide magnetic tunnel junctions using deep networks

Makdey¹,

Patrikar

2023

Semicond. Sci. Technol.

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Magnetic tunnel junctions (MTJs) are widely used in spintronics development owing to their high scalability and minimal power consumption. However, analyzing the electrical and magnetic behaviors of MTJs in real-time applications is challenging. In this study, an MTJ based on molybdenum disulfide (MoS2) wasdesigned, and a novel deep Elman neural behavior prediction model wasdeveloped to analyze its behavior. In the proposed model, MoS2 acts as a tunnel barrier, and iron oxide (Fe3O4) acts as a ferromagnetic electrode. The interface between Fe3O4 and MoS2 in the MTJ improves the spin polarization and tunnel magnetoresistance ratio. Herein, the performance parameters of the MTJ wereused as inputs for the developed prediction model, which analyzes the magnetic and electrical properties of the MTJ using prediction parameters. The spin currents in the parallel and anti-parallel configurations werealso determined. The designed model wasimplemented using MATLAB and validated through comparison of simulation and experimental results.

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Section: Design Of Mos 2 -Mtjmentioning

confidence: 99%