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相关概念视频

Semiconductors01:22

Semiconductors

There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...

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相关实验视频

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Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors
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基于晶圆尺度WS2的超快速光传感和内存计算设备用于神经形态计算.

Sharmila B1, Priyanka Dwivedi1

  • 1Indian Institute of Information Technology (IIIT) Sri City, Chittoor 517646, India.

Nanotechnology
|July 8, 2024
PubMed
概括

本研究介绍了使用二硫化物 (WS2) 进行物联网 (IoT) 应用的集成传感和计算内存 (ISCM) 设备. 这些设备在光传感,内存功能和图像分类方面实现了高性能,使智能传感器开发成为可能.

科学领域:

  • 材料科学 材料科学 材料科学
  • 纳米技术 纳米技术
  • 计算机工程 计算机工程

背景情况:

  • 物联网 (IoT) 需要集成的设备来进行传感和数据处理.
  • 记忆器提供了结合记忆和计算功能的潜力.
  • 光学传感器对于各种物联网应用中的数据采集至关重要.

研究的目的:

  • 开发和描述使用二硫化物 (WS2) 的集成传感和计算内存 (ISCM) 设备.
  • 评估这些ISCM设备用于神经形态计算和图像分类的性能.
  • 为实时物联网应用展示制造设备的可扩展性和稳定性.

主要方法:

  • 在2英寸晶圆上使用微型制造技术制造ISCM设备.
  • 使用电气和光学刺激对光感知和记忆特性进行表征.
  • 通过强化和压缩测试对图像分类的设备性能进行评估.

主要成果:

  • 制造的光传感器具有高响应度 (8 A W-1),检测能力 (2.85 × 1011 斯) 和快速响应时间 (80.2/78.3 微秒).
  • 存储器组件显示快速设置/重置时间 (51.6/73.5μs).
  • 使用该设备的强化和压缩特征,实现了98.27%的图像分类精度.
关键词:
两维材料是二维材料.对于ISCM设备来说,这是非常重要的.在WS2上,我们可以看到WS2.双极电阻开关 双极电阻开关记忆器的使用者图像传感器可以使用光学传感.

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结论:

  • 开发的基于WS2的ISCM设备是稳定的,可重复的,适合实时物联网应用.
  • 在单一设备中集成传感和记忆功能为先进的神经形态计算铺平了道路.
  • 这些发现支持制造具有增强,集成能力的智能传感器.