Reliability-Enhanced Reverse Forming Operation Scheme for Analog Resistive Random-Access Memory

This study presents a novel reverse forming (RevF) operation scheme to enhance the multi-bit programming reliability of analog resistive random-access memory (RRAM), which is essential for advancing computing-in-memory (CIM) technology. The proposed RevF method uses a series of progressively intensified RESET operations following the initial forming process. The RevF scheme significantly strengthens the unstable conductive filaments (CF) at the bottom of the HfO2 resistive switching layer (RSL) and reduces excessive oxygen ions in the TaOx thermal enhanced layer (TEL). Array-level experimental evaluations on a fully integrated 128Kb RRAM chip showcase a 3-fold reduction in the post-programming conductance instability (i.e., relaxation effect), as quantified by the relative deviation (RD), and a <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$10^{{6}}$ </tex-math></inline-formula>-fold enhancement in the retention time. To further verify the effectiveness and advantage of the RevF scheme, a classical denoising diffusion probabilistic model (DDPM) is implemented, yielding significantly enhanced image quality compared to the conventional operation scheme.

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Publication Details

Journal
IEEE Electron Device Letters
Published
2024-12-25
DOI
https://doi.org/10.1109/led.2024.3521924
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.21

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article

Reliability-Enhanced Reverse Forming Operation Scheme for Analog Resistive Random-Access Memory

Jianshi Tang, Bin Gao, Huaqiang Wu, Yue Xi et al.
1 citations
IEEE Electron Device Letters
Advanced Memory and Neural Computing
0.21
article

Reliability-Enhanced Reverse Forming Operation Scheme for Analog Resistive Random-Access Memory

Jianshi Tang, Bin Gao, Huaqiang Wu, Yue Xi, Yiwei Du, He Qian, Yuyao Lu, Ruofei Hu, Zhixing Jiang
article en
1 citations

Abstract

This study presents a novel reverse forming (RevF) operation scheme to enhance the multi-bit programming reliability of analog resistive random-access memory (RRAM), which is essential for advancing computing-in-memory (CIM) technology. The proposed RevF method uses a series of progressively intensified RESET operations following the initial forming process. The RevF scheme significantly strengthens the unstable conductive filaments (CF) at the bottom of the HfO2 resistive switching layer (RSL) and reduces excessive oxygen ions in the TaOx thermal enhanced layer (TEL). Array-level experimental evaluations on a fully integrated 128Kb RRAM chip showcase a 3-fold reduction in the post-programming conductance instability (i.e., relaxation effect), as quantified by the relative deviation (RD), and a <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$10^{{6}}$ </tex-math></inline-formula>-fold enhancement in the retention time. To further verify the effectiveness and advantage of the RevF scheme, a classical denoising diffusion probabilistic model (DDPM) is implemented, yielding significantly enhanced image quality compared to the conventional operation scheme.

IEEE Electron Device LettersVol. 46(2)
Tsinghua University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 45%
Advanced Memory and Neural Computing
0.21
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