期刊
SMALL SCIENCE
卷 2, 期 1, 页码 -出版社
WILEY
DOI: 10.1002/smsc.202100072
关键词
crossbar arrays; memristors; neuromorphic computing; resistive switching; selectors
资金
- Air Force Office of Scientific Research (AFOSR) [FA9550-19-1-0213]
- USA Air Force Research Laboratory (AFRL) [FA8750-18-2-0122]
- National Science Foundation [2023752]
- Div Of Electrical, Commun & Cyber Sys
- Directorate For Engineering [2023752] Funding Source: National Science Foundation
This study proposes a memristor crossbar array with a timing selector to address sneak path current issues. By using silver-based diffusive memristors as timing selectors, large-dimension real-world problems can be solved effectively.
Sneak path current is a fundamental issue and a major roadblock to the wide application of memristor crossbar arrays. Traditional selectors such as transistors compromise the 2D scalability and 3D stack-ability of the array, while emerging selectors with highly nonlinear current-voltage relations contradict the requirement of a linear current-voltage relation for efficient multiplication by directly using Ohm's law. Herein, the concept of a timing selector is proposed and demonstrated, which addresses the sneak path issue with a voltage-dependent delay time of its transient switching behavior, while preserving a linear current-voltage relationship for computation. Crossbar arrays with silver-based diffusive memristors as the timing selectors are built and the operation principle and operational windows are experimentally demonstrated. The timing selector enables large memristor crossbar arrays that can be used to solve large-dimension real-world problems in machine intelligence and neuromorphic computing.
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