Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Mnemonic Devices01:23

Mnemonic Devices

68
Mnemonic devices are cognitive tools that facilitate memory retention by linking new information to familiar patterns or organizational strategies. These techniques are beneficial for remembering complex or lengthy sets of information by simplifying and structuring them in easily retrievable ways.
Acronyms
Acronyms are created by using the initial letters of a series of words to form a new word or phrase. This approach condenses complex information into a single, memorable entity. For example,...
68
MOS Capacitor01:25

MOS Capacitor

741
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...
741
Bipolar Junction Transistor01:22

Bipolar Junction Transistor

620
Bipolar Junction Transistors (BJTs) are essential elements in electronic circuits, playing a crucial role in the functionality of amplifiers, memories, and microprocessors. These transistors can be designed as NPN or PNP based on their doping patterns. They consist of three layers: the emitter, base, and collector. The configuration of these layers and their respective doping levels—with N-type or P-type impurities—define the transistor's type and its operational...
620
Field Effect Transistor01:29

Field Effect Transistor

343
Field-effect transistors (FETs) are integral to electronic circuits and distinguished by their three-terminal setup: the gate, drain, and source. These transistors operate as unipolar devices, which utilize either electrons or holes as charge carriers, in contrast to bipolar transistors, which use both types of carriers. The primary function of the FET is to modulate the flow of these carriers from the source to the drain through a channel. The voltage difference between the gate and source...
343
System of Memory01:23

System of Memory

5.5K
Memory is categorized into three major systems: sensory memory, short-term memory (STM), and long-term memory (LTM). These systems differ in their capacity and the duration for which they can hold information. Sensory memory captures raw sensory input from the environment, holding it for just a few seconds or less. For example, on hearing a brief, loud sound, like a car horn honking, the sound seems to linger in the mind for a moment even after it stops. This is an instance of sensory memory...
5.5K
Chunking01:12

Chunking

76
Chunking is a powerful cognitive technique that improves short-term memory retention by organizing information into smaller, more manageable units. The brain, limited by working memory capacity, can more easily process and store information when it is divided into "chunks" rather than presented as discrete, unrelated elements. Chunking is especially useful when dealing with large amounts of information, such as numerical sequences, words, or complex ideas.
The principle behind chunking...
76

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Scaling two-dimensional semiconductor nanoribbons for high-performance electronics.

Nature communications·2026
Same author

Beyond Seamless: Unexpected Defective Merging in Single-Orientation Graphene.

Small science·2026
Same author

Anti-3-Hydroxy-3-Methylglutaryl-Coenzyme A (HMG-CoA) Reductase Negative Statin-Induced Necrotizing Myopathy: A Challenging Case.

Cureus·2026
Same author

Assessing energy fluxes of lowland rice fields using four-year eddy covariance data.

International journal of biometeorology·2026
Same author

Magnetic Resonance Imaging-based Evaluation of Tibial Tuberosity-Trochlear Groove Distance in the North Indian Population: A Prospective Observational Study.

Annals of African medicine·2026
Same author

Monolayer MoS<sub>2</sub> Sensors for Probing the Self-Heating Effect in Indium Tin Oxide Nanoelectronics.

Nano letters·2026

相关实验视频

Updated: Jun 17, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

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

Published on: March 9, 2019

7.8K

基于单个二维晶体管的三元内容可定位记忆,用于记忆增强学习.

Jun Cai1,2, Peng Wu3,4, Rahul Tripathi1,2

  • 1Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana 47907, United States.

ACS nano
|August 13, 2024
PubMed
概括
此摘要是机器生成的。

研究人员使用2D材料开发了一种单晶体管Ternary内容可定位存储器 (TCAM). 这种可靠的非易失性存储器可以为人工智能应用程序提供高效的内存计算.

关键词:
三级内容可定位存储器几次射击的学习学习浮式门晶体管的浮式门晶体管在内存计算中的内存计算.两个维的材料是二维材料.

更多相关视频

A Method for Growing Bio-memristors from Slime Mold
07:46

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

8.9K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

12.8K

相关实验视频

Last Updated: Jun 17, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

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

Published on: March 9, 2019

7.8K
A Method for Growing Bio-memristors from Slime Mold
07:46

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

8.9K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

12.8K

科学领域:

  • 材料科学 材料科学 材料科学
  • 电气工程 电气工程
  • 计算机工程 计算机工程

背景情况:

  • 由于并行内存计算,三元内容可定位内存 (TCAM) 对人工智能至关重要.
  • 构建可靠的单组件TCAM细胞仍然是一个重大挑战.
  • 现有的TCAM技术在可扩展性和效率方面存在局限性.

研究的目的:

  • 为了展示一种新的单晶体管TCAM电池.
  • 为了提高内存性能,利用二维 (2D) 材料.
  • 为了实现AI应用程序的高效内存计算.

主要方法:

  • 使用浮门,2D双极MoTe2场效应晶体管与石墨烯接触器制造TCAM电池.
  • 使用底部石墨烯接触方案用于门调制的肖特基屏障高度.
  • 与浮式门堆集成,用于非挥发性内存特征.

主要成果:

  • 实现了TCAM细胞的电阻比大于1000和对称的互补状态.
  • 证明了由于2D材料的存在,设备超越的扩展潜力.
  • 通过电路模拟对最多128个单元进行内存哈明距离计算的可行性进行验证.

结论:

  • 开发的单晶体管TCAM为AI硬件提供了可靠和可扩展的解决方案.
  • 使用2D材料和石墨烯接触方便高性能和设备小型化.
  • 这种TCAM架构非常适合实施大型内存计算数组.