Hybrid Multi-Level Cell Spin-Orbit Torque Memory for Fast and Robust Memory Operations

This paper proposes a hybrid spintronic multi-level cell (MLC) optimized for fast and reliable memory operations. The proposed MLC employs two magnetic tunnel junctions with distinct magnetization characteristics within a single cell, leveraging their significant differences in critical current requirements to effectively mitigate write-disturb failures. Moreover, the proposed design incorporates a spin-orbit torque-based switching mechanism along with a device multiplexing architecture, which together enable a one-step write operation and an opportunistic one-step read operation. Simulations demonstrate up to a 2× reduction in latency compared to conventional spintronic MLCs, along with a 2× increase in area efficiency over single-level cell designs and a high write-disturb margin of 61%.

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Publication Details

Journal
IEEE Transactions on Nanotechnology
Published
2025-01-01
DOI
https://doi.org/10.1109/tnano.2025.3585167
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Hybrid Multi-Level Cell Spin-Orbit Torque Memory for Fast and Robust Memory Operations

Yeongkyo Seo, Kon‐Woo Kwon
IEEE Transactions on Nanotechnology
Advanced Memory and Neural Computing
article

Hybrid Multi-Level Cell Spin-Orbit Torque Memory for Fast and Robust Memory Operations

Yeongkyo Seo, Kon‐Woo Kwon
article en

Abstract

This paper proposes a hybrid spintronic multi-level cell (MLC) optimized for fast and reliable memory operations. The proposed MLC employs two magnetic tunnel junctions with distinct magnetization characteristics within a single cell, leveraging their significant differences in critical current requirements to effectively mitigate write-disturb failures. Moreover, the proposed design incorporates a spin-orbit torque-based switching mechanism along with a device multiplexing architecture, which together enable a one-step write operation and an opportunistic one-step read operation. Simulations demonstrate up to a 2× reduction in latency compared to conventional spintronic MLCs, along with a 2× increase in area efficiency over single-level cell designs and a high write-disturb margin of 61%.

IEEE Transactions on NanotechnologyVol. 24
Inha University (KR), Hongik University (KR)
Affordable and clean energy
Openalex Percentile: Top 86%
Advanced Memory and Neural Computing
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Hybrid Multi-Level Cell Spin-Orbit Torque Memory for Fast and Robust Memory Operations — Yeongkyo Seo, Kon‐Woo Kwon · IEEE Transactions on Nanotechnology (2025) | TGRS Research Map | TGRS