11-bit two-dimensional floating-gate memories

Floating-gate memories (FGMs) show great promise for neuromorphic computing in efficient data-centric applications. However, their limited single-device state capacity remains insufficient for highly integrated precision computing. Here, we demonstrate 11-bit two-dimensional (2D) MoS<sub>2</sub> FGMs by contacting the 2D channels with bismuth electrodes, enabling 100 μA on-state current with 10<sup>8</sup> on/off ratio and reducing the current noise by 3 times (approaching the equipment limits) due to the Schottky barrier-free interfaces. Moreover, we employed a dual-pulse state editing scheme enhancing the stability of our FGMs. The devices show as high as 2,249 distinct conductance levels (>11-bit) while maintaining 230 ns operation speed, >10<sup>4 </sup>s retention, and >10<sup>5</sup> cycle endurance. Furthermore, the gate-injection operation prevents the influence from generated defects during cycling, maintaining low noise even after 10<sup>5</sup> cycles and at 85 °C. Theoretical analysis reveals interfacial defects as the primary state-number limitation, suggesting 17-bit capacity is achievable through further trap density reduction. This work establishes 2D FGMs as promising candidates for high-bit-density, low-power neuromorphic hardware.

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Publication Details

Journal
Nature Communications
Published
2025-10-20
DOI
https://doi.org/10.1038/s41467-025-64333-x
Citations
3
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
2.19

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article

11-bit two-dimensional floating-gate memories

Ruohao Hong, Yuchen Cai, Yanrong Wang, Baoxing Zhai et al.
3 citations
Nature Communications
Advanced Memory and Neural Computing
2.19
article

11-bit two-dimensional floating-gate memories

Ruohao Hong, Yuchen Cai, Yanrong Wang, Baoxing Zhai, Tao Yan, Kai Xu, Jun He, Shu‐Hui Li, Zhenxing Wang, Feng Wang, Ming-Yang Cao, Xueying Zhan
article en
3 citations

Abstract

Floating-gate memories (FGMs) show great promise for neuromorphic computing in efficient data-centric applications. However, their limited single-device state capacity remains insufficient for highly integrated precision computing. Here, we demonstrate 11-bit two-dimensional (2D) MoS<sub>2</sub> FGMs by contacting the 2D channels with bismuth electrodes, enabling 100 μA on-state current with 10<sup>8</sup> on/off ratio and reducing the current noise by 3 times (approaching the equipment limits) due to the Schottky barrier-free interfaces. Moreover, we employed a dual-pulse state editing scheme enhancing the stability of our FGMs. The devices show as high as 2,249 distinct conductance levels (>11-bit) while maintaining 230 ns operation speed, >10<sup>4 </sup>s retention, and >10<sup>5</sup> cycle endurance. Furthermore, the gate-injection operation prevents the influence from generated defects during cycling, maintaining low noise even after 10<sup>5</sup> cycles and at 85 °C. Theoretical analysis reveals interfacial defects as the primary state-number limitation, suggesting 17-bit capacity is achievable through further trap density reduction. This work establishes 2D FGMs as promising candidates for high-bit-density, low-power neuromorphic hardware.

Nature CommunicationsVol. 16(1)
Wuhan University (CN), Henan Academy of Sciences (CN), Zhejiang Lab (CN), National Center for Nanoscience and Technology (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences, Key Laboratory of Nanosystem and Hierarchical Fabrication, Chinese Academy of Sciences, Youth Innovation Promotion Association
Openalex Percentile: Top 11%
Advanced Memory and Neural Computing
2.19
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