Controlled manipulation of domain walls in ultra-thin CoFeB nanodevices

Wells, James; Lee, J.H.; Mansell, Rhodri; Cowburn, R. P.; Kazakova, Olga

doi:10.1016/j.jmmm.2015.07.047

Cited by 9 publications

(4 citation statements)

References 20 publications

(22 reference statements)

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“…Magnetic structure of CoFeB single layers a Correspondent author e-mail: morgunov2005@yandex.ru have been studied in detail [ [9][10][11][12][13][14]. Numerous reports on methods for inducing domain walls by electric current [ [15][16], manipulating them [ [17][18][19], and reversing polarity of perpendicularly polarized nanosized single-and multilayer magnets without external magnetic field [ 20 ] by means of local electric fields [ [21][22] and currents [ [23][24][25] ] can be found for single CoFeB magnets. However, magnetization reversal of multilayer magnetic structures remains a challenge due to a complicated game of anisotropy of layers [ [26][27][28][29][30], DMI interaction [ [31][32], tensile strains [ [33][34] and interlayer coupling [ [35][36].…”

Section: Introductionmentioning

confidence: 99%

Magnetization switching diagram of a perpendicular synthetic ferrimagnet CoFeB/Ta/CoFeB bilayer

Коплак

Таланцев

Lü

et al. 2017

Journal of Magnetism and Magnetic Materials

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Magnetic configurations in synthetic ferrimagnet CoFeB/Ta/CoFeB bilayer with strong perpendicular anisotropy have been systematically studied. Magnetization versus field hysteresis loop has been measured for different temperature ranging from 5 to 300 K. The applied field-temperature (H-T) magnetization switching diagram has been constructed by extracting the different switching fields as a function of temperature. This switching diagram can be well explained by considering the competition between energy barrier of layer's magnetization reversal, interlayer exchange coupling, and Zeeman energy.

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Section: Introductionmentioning

confidence: 99%

Magnetization switching diagram of a perpendicular synthetic ferrimagnet CoFeB/Ta/CoFeB bilayer

Коплак

Таланцев

Lü

et al. 2017

Journal of Magnetism and Magnetic Materials

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“…1C ). Such reduced PMA regions can be created using ion implantation ( 84 ). Since the skyrmion boundary with in-plane magnetization tends to be located in the low-PMA regions to reduce the overall magnetostatic energy ( 85 ), the skyrmions can be softly pinned into lattice sites A or B (Fig.…”

Section: Resultsmentioning

confidence: 99%

Adaptive cognition implemented with a context-aware and flexible neuron for next-generation artificial intelligence

et al. 2022

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Neuromorphic computing mimics the organizational principles of the brain in its quest to replicate the brain's intellectual abilities. An impressive ability of the brain is its adaptive intelligence, which allows the brain to regulate its functions “on the fly” to cope with myriad and ever-changing situations. In particular, the brain displays three adaptive and advanced intelligence abilities of context-awareness, cross frequency coupling and feature binding. To mimic these adaptive cognitive abilities, we design and simulate a novel, hardware-based adaptive oscillatory neuron using a lattice of magnetic skyrmions. Charge current fed to the neuron reconfigures the skyrmion lattice, thereby modulating the neuron's state, its dynamics and its transfer function “on the fly.” This adaptive neuron is used to demonstrate the three cognitive abilities, of which context-awareness and cross-frequency coupling have not been previously realized in hardware neurons. Additionally, the neuron is used to construct an adaptive artificial neural network (ANN) and perform context-aware diagnosis of breast cancer. Simulations show that the adaptive ANN diagnoses cancer with higher accuracy while learning faster and using a more compact and energy-efficient network than a non-adaptive ANN. The work further describes how hardware-based adaptive neurons can mitigate several critical challenges facing contemporary ANNs. Modern ANNs require large amounts of training data, energy and chip area and are highly task-specific; conversely, hardware-based ANNs built with adaptive neurons show faster learning, compact architectures, energy-efficiency, fault-tolerance and can lead to the realization of broader artificial intelligence.

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“…In addition, the cobalt-iron boron compounds formed by the addition of iron have a larger active surface area and better absorptive capacity, and have gained much attention in the field of catalysis [27]. Some CoFeB amorphous alloys are recommended for use in fine and tough magnetic coating materials [28]. However, as the key raw material for coating, the microstructure of CoFeB alloy, such as phase composition and distribution, extremely affects the sputtering coating effect, but the related literature published so far mainly focuses on the magnetic properties of CoFeB thin films [29][30][31][32], and the research results on the microstructure of raw casted CoFeB alloy are less published.…”

Section: Introductionmentioning

confidence: 99%

Microstructure Features and Mechanical Properties of Casted CoFeB Alloy Target

Zhu,

He,

et al. 2024

Coatings

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CoFeB alloy, as a promising magneto-resistive material, has attracted extensive attention concerning the magnetic properties of its thin film in the field of magneto-resistive random memory (MRAM). Although there are many studies on the magnetic properties of CoFeB thin films, there is relatively little research on the microstructure and mechanical properties of casted CoFeB alloy. In this work, Co20Fe60B20 (at%) alloy was fabricated through the vacuum induction melting method, and its microstructure features and mechanical performance were studied. Scanning electron microscopy (SEM), electron back scatter diffraction (EBSD), and transmission electron microscopy (TEM) were utilized to characterize the microstructure, which consists of the coarse, needle-like Fe2B phase that crystallizes first, the primary lamellar binary eutectic structure (Fe2B + bcc-Fe), and the ternary eutectic structure (Fe3B + Fe2B + bcc-Fe phase). It is found that Fe3B precipitates on the Fe2B with a core–shell structure. The orientation of bcc-Fe is randomly distributed, while there are two main kinds of textures in Fe2B: {100} <001> and Gaussian texture {110} <001>. In terms of mechanical properties, Co20Fe60B20 alloy’s tensile strength is 140MPa, and the yield strength is 87MPa. Because the cracks are easy to generate and expand along the needle-shaped pre-crystallized Fe2B, the plasticity of Co20Fe60B20 alloy is very poor, only 1%.

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Controlled manipulation of domain walls in ultra-thin CoFeB nanodevices

Cited by 9 publications

References 20 publications

Magnetization switching diagram of a perpendicular synthetic ferrimagnet CoFeB/Ta/CoFeB bilayer

Magnetization switching diagram of a perpendicular synthetic ferrimagnet CoFeB/Ta/CoFeB bilayer

Adaptive cognition implemented with a context-aware and flexible neuron for next-generation artificial intelligence

Microstructure Features and Mechanical Properties of Casted CoFeB Alloy Target

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