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相关概念视频

MOS Capacitor01:25

MOS Capacitor

825
A Metal-Oxide-Semiconductor (MOS) capacitor is a fundamental structure used extensively in semiconductor device technology, particularly in the fabrication of integrated circuits and MOSFETs (metal-oxide-semiconductor field-effect transistors). The MOS capacitor consists of three layers: a metal gate, a dielectric oxide, and a semiconductor substrate.
The metal gate is typically made from highly conductive materials such as aluminum or polysilicon. Beneath the metal gate lies a thin layer of...
825
Capacitor With A Dielectric01:18

Capacitor With A Dielectric

4.0K
Parallel plate capacitors consist of two conducting plates separated by a certain distance. However, it is mechanically difficult to hold the large plates parallel to each other without actual contact. Hence, a dielectric layer is commonly placed between the plates, which provides an easy solution for holding the plates together with a small gap and increases the capacitance of the capacitor.
Dielectrics are non-conducting materials with no free or loosely bound electrons. When a dielectric is...
4.0K
Energy Stored in a Capacitor01:12

Energy Stored in a Capacitor

3.7K
When an archer pulls the string in a bow, he saves the work done in the form of elastic potential energy. When he releases the string, the potential energy is released as kinetic energy of the arrow. A capacitor works on the same principle in which the work done is saved as electric potential energy. The potential energy (UC) could be calculated by measuring the work done (W) to charge the capacitor.
3.7K
Design Example: Capacitance Multiplier Circuit01:20

Design Example: Capacitance Multiplier Circuit

806
In integrated circuit technology, a capacitance multiplier is often utilized to produce a larger capacitance value when a small physical capacitance falls short. This is achieved by a circuit that multiplies capacitance values by a factor of up to 1000, such that a 10-pF capacitor can replicate the performance of a 100-nF capacitor.
The circuit illustrated in Figure 1 below incorporates two op-amps, with the first operating as a voltage follower and the second acting as an inverting amplifier.
806
Capacitors01:15

Capacitors

454
Capacitors play a crucial role in car radios, where they filter and store frequencies to ensure clear signal reception. Essentially serving as energy storage devices, capacitors store energy within their electric field and are composed of two parallel conducting plates separated by a dielectric.
When a voltage source is connected to a capacitor, positive and negative charges accumulate on the opposite plates. This accumulation generates a potential difference that equals the product of the...
454
Energy Stored in Capacitors01:10

Energy Stored in Capacitors

518
A parallel plate capacitor, when connected to a battery, develops a potential difference across its plates. This potential difference is key to the operation of the capacitor, as it determines how much electrical energy the capacitor can store.
By integrating the equation that relates voltage and current in a capacitor, one can derive an equation for the voltage across the capacitor at any given time. This equation is crucial in understanding and predicting the behavior of capacitors in...
518

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相关实验视频

Updated: Jul 15, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
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Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

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带有电荷陷的mem电容器交叉杆阵列 用于神经形态计算的NAND闪存结构

Sungmin Hwang1, Junsu Yu2, Min Suk Song3

  • 1Department of AI Semiconductor Engineering, Korea University, Sejong, 30019, South Korea.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|September 27, 2023
PubMed
概括
此摘要是机器生成的。

研究人员开发了一种新的memcapacitor交叉杆阵列,用于低功率的人工智能. 这种神经形态计算方法在神经网络分类任务中实现了高精度,减少了能源消耗.

关键词:
这是一个NAND闪存结构.充电陷闪光灯是什么意思交叉条形数组数组的交叉条形数组数组.电容器的 mem 电容器神经形态计算是一种神经形态计算.尖的神经网络的神经网络.

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In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx
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Experimental Methods for Trapping Ions Using Microfabricated Surface Ion Traps
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In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx
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科学领域:

  • 人工智能的人工智能
  • 材料科学 材料科学 材料科学
  • 计算机工程 计算机工程

背景情况:

  • 大规模神经网络不断增长的计算成本和能源需求需要低功耗的解决方案.
  • 神经形态计算系统为高效的人工智能实施提供了一个有希望的替代方案.
  • 开发高密度,可靠的突触器件对于神经形态硬件至关重要.

研究的目的:

  • 为神经形态计算提供一个 8 × 16 mem电容器交叉杆阵列.
  • 为了证明数组的模拟特性,可靠性和矢量矩阵乘法能力.
  • 使用开发的硬件实现和评估用于图像分类的尖端神经网络.

主要方法:

  • 制造一个8 × 16 mem电容器交叉杆阵列,集成闪电池技术和NAND闪电结构.
  • 对模拟器件特性和高可靠性的矢量矩阵乘法进行实验验证.
  • 在CIFAR-10分类的memcapacitor阵列上实现一个尖端神经网络的离芯片学习.

主要成果:

  • 在membcapacitor阵列中实验证明模拟特性和高可靠性.
  • 成功执行矢量矩阵乘法,错误最小.
  • 使用尖端神经网络实现了CIFAR-10分类的92.11%准确度,与基于软件的性能 (93.24%) 非常接近.

结论:

  • 开发的memcapacitor交叉杆阵列显示了低功耗,高性能神经形态计算的巨大潜力.
  • 该数组以高精度执行复杂计算的能力,如向量矩阵乘法,经过实验验证.
  • 这种基于硬件的方法为实现更节能的人工智能应用提供了可行的途径.