Thickness-Controlled Growth of Multilayer Graphene on Ni(111) Using an Approximate Equilibrium Segregation Method for Applications in Spintronic Devices

Qiu, Weicheng; Guo, Yanrui; Zhang, Qi; Hu, Jiafei; Peng, Junping; Hu, Yueguo; Chen, Dixiang; Yang, Chengxiu; Li, Peisen; Pan, Mengchun

doi:10.1021/acsanm.2c05320

Cited by 4 publications

(1 citation statement)

References 35 publications

(58 reference statements)

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“…Therefore, constructing hardware-based neuromorphic computing systems based on neuromorphic devices through emulating the structural characteristics of BNNs is an efficacious approach to break the limitations imposed by von Neumann bottleneck, and realize high-efficiency and low-energy data processing. Various kind of neuromorphic devices, including memristors [129][130][131][132][133], transistors [51,[134][135][136][137][138][139], memtransistor [140][141][142][143][144][145][146], spintronic devices [147][148][149][150][151], and phase-change memory [152][153][154][155][156][157] had been developed. Memristor and neuromorphic transistor are two most common devices for mimicking the synaptic behaviors.…”

Section: Neuromorphic Devicesmentioning

confidence: 99%

In-sensor neuromorphic computing using perovskites and transition metal dichalcogenides

Li,

Zhou

et al. 2024

J. Phys. Mater.

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With the advancements in Web of Things, Artificial Intelligence, and other emerging technologies, there is an increasing demand for artificial visual systems to perceive and learn about external environments. However, traditional sensing and computing systems are limited by the physical separation of sense, processing, and memory units that results in the challenges such as high energy consumption, large additional hardware costs, and long latency time. Integrating neuromorphic computing functions into the sensing unit is an effective way to overcome these challenges. Therefore, it is extremely important to design neuromorphic devices with sensing ability and the properties of low power consumption and high switching speed for exploring in-sensor computing devices and systems. In this review, we provide an elementary introduction to the structures and properties of two common optoelectronic materials, perovskites and transition metal dichalcogenides (TMDs). Subsequently, we discuss the fundamental concepts of neuromorphic devices, including device structures and working mechanisms. Furthermore, we summarize and extensively discuss the applications of perovskites and TMDs in in-sensor computing. Finally, we propose potential strategies to address challenges and offer a brief outlook on the application of optoelectronic materials in term of in-sensor computing.

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Section: Neuromorphic Devicesmentioning

confidence: 99%

In-sensor neuromorphic computing using perovskites and transition metal dichalcogenides

Li,

Zhou

et al. 2024

J. Phys. Mater.

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Van der Waals Multilayered Films: Wafer‐Scale Synthesis and Applications in Electronics and Optoelectronics

Yun,

Ko,

Park

et al. 2024

Adv Funct Materials

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Abstract2D materials possess significant potential across various applications, with physical and chemical properties that can be effectively modulated by their thickness, enabling tailored optimization for specific uses. For instance, 2D monolayers are ideal for transparent and flexible electronics, while 2D multilayers are more suitable for solar cells and high‐speed devices. Although scalable methods for synthesizing large‐area 2D materials and their applications have been developed, most research has focused on monolayers, with comparatively limited efforts directed toward multilayers. This review provides an overview of the emerging field of 2D multilayers, revisiting the analysis of layer‐dependent properties to determine the optimal material thickness for various applications. It introduces representative techniques for synthesizing 2D multilayer films and presents applications where multilayer structures demonstrate superior performance compared to monolayers, particularly in electronics and optoelectronics. The review advocates for the development of synthesis and integration methods for 2D multilayers, calling for a shift in research focus toward these materials to enhance their technological impact and unlock new industrial applications.

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Enhanced Growth of Homogeneous Multilayer Graphene on Ni(111) via Airflow Microcavity-Assisted PECVD

Jiang,

Pan,

Peng

et al. 2024

Crystal Growth & Design

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Due to the perfect spin filtering at the lattice-matched multilayer graphene/ Ni(111) interface, the lattice-matched multilayer graphene/Ni(111) interface has been attracting wide interest in two-dimensional magnetic tunnel junctions (2D-MTJs). Plasmaenhanced chemical vapor deposition (PECVD) is an effective method for the growth of multilayer graphene on Ni(111) substrates. However, the uniformity of the grown multilayer graphene is limited by the high density of carbon free radicals and plasma bombardment, which often leads to island-like growth. In this article, an improved PECVD method with a glassenclosed airflow microcavity structure has been proposed for the uniform growth of multilayer graphene. The fluid simulation shows that a microairflow region can be formed inside the glassenclosed cavity, which effectively reduces the carbon density on the substrate surface and improves the growth uniformity of multilayer graphene. Various characterization results confirm the synthesis of full-coverage, better-uniform multilayer graphene on Ni(111) substrates. This high-quality multilayer graphene grown on monocrystalline ferromagnetic substrates readily can serve as barrier layers for magnetic tunnel junctions (MTJs), thus shedding light on their direct integration in next-generation applications in two-dimensional (2D) spintronic devices.

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Thickness-Controlled Growth of Multilayer Graphene on Ni(111) Using an Approximate Equilibrium Segregation Method for Applications in Spintronic Devices

Cited by 4 publications

References 35 publications

In-sensor neuromorphic computing using perovskites and transition metal dichalcogenides

In-sensor neuromorphic computing using perovskites and transition metal dichalcogenides

Van der Waals Multilayered Films: Wafer‐Scale Synthesis and Applications in Electronics and Optoelectronics

Enhanced Growth of Homogeneous Multilayer Graphene on Ni(111) via Airflow Microcavity-Assisted PECVD

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