Unknown

Dataset Information

Assessment of functional performance in self-rectifying passive crossbar arrays utilizing sneak path current.


ABSTRACT: Self-rectifying memristive devices have emerged as promising contenders for low-power in-memory computing, presenting numerous advantages. However, characterizing the functional behavior of passive crossbar arrays incorporating these devices remains challenging due to sophisticated parasitic currents stemming from rich memristive dynamic behavior. Conventional methods using read margin assessments to evaluate functional behavior in passive crossbars are hindered by the voltage divider effect from the pull-up resistor. In this study, we propose a novel performance metric, Δ SC, harnessing sneak path currents to assess functional behavior. Through the application of a pair of negative rectification factors, RFn,L and RFn,H , we comprehensively delineate dynamic rectification behavior in both

SUBMITTER: Chen Z 

PROVIDER: S-EPMC11494113 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature