OAK

4K Self-Rectifying Resistive Memory Crossbar Array for Reliable Pattern Recognition

Metadata Downloads
Author(s)
Seo, Ik JoonLee, Dong ChanJeon, KanghyeokYang, Min KyuKwon, DongseokChang, JiwonKim, Gun Hwan
Type
Article
Citation
ACS NANO
Issued Date
2026-06
Abstract
Here, we demonstrate an interface-controlled, self-rectifying resistive switching memory integrated in a 4K (64 & times; 64) crossbar array (CA). A simple Ru/HfAlO x /TiN stack composed of fabrication-friendly materials enables both nonvolatile resistive switching and polarity-dependent rectification. The interface-controlled operation suppresses the stochastic variability typically observed in conventional resistive switching memories and removes the need for electroforming, which is advantageous for mass production. In the 4K crossbar array, we achieve 100% functional yield without operational failure and experimentally verify analogue vector-matrix multiplication (VMM). The same interface-controlled switching yields analogue-like conductance updates with linear and symmetric modulation, and we present inference simulation results based on the measured characteristics. Finally, current-conduction fitting and drive-level capacitance profiling (DLCP), together with atomistic numerical simulations, elucidate a switching mechanism governed by the motion of internal mobile charges at the interfaces.
Publisher
AMER CHEMICAL SOC
ISSN
1936-0851
DOI
10.1021/acsnano.6c05866
URI
https://scholar.gist.ac.kr/handle/local/34276
공개 및 라이선스
  • 공개 구분공개
파일 목록
  • 관련 파일이 존재하지 않습니다.

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.