基于光学配置单层MoS2的认知计算高温弹性神经形态器件。

IF 12.1 2区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Small Pub Date : 2025-06-26 DOI:10.1002/smll.202411596
Pukhraj Prajapat, Pargam Vashishtha, Govind Gupta
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引用次数: 0

摘要

高温神经形态器件对于空间探索和制造单位等恶劣环境下的操作至关重要。为了满足这一需求,研究人员正在开发在结构和功能上模仿人脑的技术。物联网(IoT)的发展进一步推动了这一需求,要求大量的计算能力和数据处理。在此,我们提出了一种可扩展的单层mos2神经形态器件,可以在高达100°C的温度下工作。该装置是用单层二硫化钼制造的,二硫化钼是一种2D半导体材料,以其卓越的性能而闻名,如机械柔韧性和热稳定性。因此,该设备可以在高温下工作,并可以根据不同的目的进行定制。该器件具有功耗低、开关速率快、电阻比≈102适中、开关电压低、寿命可达≈103次等优异的电学性能。它还表现出神经形态行为,因为它模仿了生物神经网络所表现出的突触可塑性。本研究解决了电子产品的高温要求,并为将电子系统与环境相连接以相互适应需求奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

High-Temperature Resilient Neuromorphic Device Based on Optically Configured Monolayer MoS2 for Cognitive Computing

High-Temperature Resilient Neuromorphic Device Based on Optically Configured Monolayer MoS2 for Cognitive Computing

High-temperature neuromorphic devices are vital for space exploration and operations in harsh environments such as manufacturing units. To fulfil this need, researchers are developing technologies that imitate the human brain in structure and function. This need is further pushed by the growth of the Internet of Things (IoT), demanding massive computing power and processing of data. Herein, we present a scalable monolayer MoS2-based neuromorphic device that can operate at temperatures up to 100 °C. The device is fabricated using monolayer MoS2, a 2D semiconductor material known for its remarkable properties, such as mechanical flexibility and thermal stability. As a result, the device can operate at high temperatures and may be customized for different purposes. The obtained device is well characterized by excellent electrical properties, including low power consumption, fast switching rate, moderate resistance ratio of ≈102, low switching voltage, and good endurance up to ≈103 cycles. It also shows neuromorphic behavior as it mimics synaptic plasticity exhibited by biological neural networks. This study addresses high-temperature requirements in electronics and lays the groundwork for connecting electronic systems with the environment to mutually adapt to demands.

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来源期刊
Small
Small 工程技术-材料科学:综合
CiteScore
17.70
自引率
3.80%
发文量
1830
审稿时长
2.1 months
期刊介绍: Small serves as an exceptional platform for both experimental and theoretical studies in fundamental and applied interdisciplinary research at the nano- and microscale. The journal offers a compelling mix of peer-reviewed Research Articles, Reviews, Perspectives, and Comments. With a remarkable 2022 Journal Impact Factor of 13.3 (Journal Citation Reports from Clarivate Analytics, 2023), Small remains among the top multidisciplinary journals, covering a wide range of topics at the interface of materials science, chemistry, physics, engineering, medicine, and biology. Small's readership includes biochemists, biologists, biomedical scientists, chemists, engineers, information technologists, materials scientists, physicists, and theoreticians alike.
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