Advancing Toward 4F² 1T1R RRAM With Local NAND-gate and Isolation Scheme

In this work, we introduce an innovative NAND-gate array structure that optimizes cell density through local series connection. By implementing a p-well isolation in combination with the substrate bias effect, we effectively mitigate the operating voltage constraints on series-connected cells. This design ensures symmetric read operations and maintains uniform read margins among cells in the NAND-gate array, achieving a record cell size of 0.045 μm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><roman>2</roman></sup> at the 40-nm technology node. This design demonstrates robust reliability with an endurance of 100k cycles and a ten-year retention at 150 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∘</sup>C. Moreover, the implementation of deep trench isolation (DTI) technology enables further density enhancements, with a projected cell area of 0.0255 μm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><roman>2</roman></sup> at the 28-nm technology node. This approach offers significant advancements in resistive random access memory (RRAM) density, making it highly suitable for high-density memory and computing applications.

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Publication Details

Journal
IEEE Transactions on Electron Devices
Published
2025-04-03
DOI
https://doi.org/10.1109/ted.2025.3554165
Citations
4
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
2.92

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article

Advancing Toward 4F² 1T1R RRAM With Local NAND-gate and Isolation Scheme

Qishen Wang, Yimao Cai, Shengyu Bao, Lin Bao et al.
4 citations
IEEE Transactions on Electron Devices
Advanced Memory and Neural Computing
2.92
article

Advancing Toward 4F² 1T1R RRAM With Local NAND-gate and Isolation Scheme

Qishen Wang, Yimao Cai, Shengyu Bao, Lin Bao, Zongwei Wang, Linbo Shan, Yuhang Yang, Ru Huang
article en
4 citations

Abstract

In this work, we introduce an innovative NAND-gate array structure that optimizes cell density through local series connection. By implementing a p-well isolation in combination with the substrate bias effect, we effectively mitigate the operating voltage constraints on series-connected cells. This design ensures symmetric read operations and maintains uniform read margins among cells in the NAND-gate array, achieving a record cell size of 0.045 μm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><roman>2</roman></sup> at the 40-nm technology node. This design demonstrates robust reliability with an endurance of 100k cycles and a ten-year retention at 150 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∘</sup>C. Moreover, the implementation of deep trench isolation (DTI) technology enables further density enhancements, with a projected cell area of 0.0255 μm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><roman>2</roman></sup> at the 28-nm technology node. This approach offers significant advancements in resistive random access memory (RRAM) density, making it highly suitable for high-density memory and computing applications.

IEEE Transactions on Electron DevicesVol. 72(5)
Beijing University of Posts and Telecommunications (CN), Peking University (CN)
National Natural Science Foundation of China, Higher Education Discipline Innovation Project, Beijing Nova Program
Zero hunger
Openalex Percentile: Top 10%
Advanced Memory and Neural Computing
2.92
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