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[会议论文]

Channel Modeling for 2TOC Gain-Cell eDRAM

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author:

Ting Xu, Yu (Ting Xu, Yu.) [1] | Zheng, Xiao Bo (Zheng, Xiao Bo.) [2] | Wang, Shao Hao (Wang, Shao Hao.) [3]

Indexed by:

EI

Abstract:

The rising of big data and artificial intelligence applications requires embedded memory with higher density, lower power consumption, and wider bandwidth. Embedded dynamic random-access memory (eDRAM) are one of the promising embedded memory technologies. Recent advances in thin-film amorphous oxide semiconductor field-effect transistors (AOSFET) have enabled two-transistor-zero-capacitor (2TOC) gain cell eDRAMs to have three-dimensional integration capability and ultra-long retention time. However, 2TOC gain cell eDRAMs are still facing read accuracy challenges. In this paper, we explored the statistical distribution characteristics of storage node (SN) charges during the retention and read phases by conducting perturbation analysis on the 2TOC GC eDRAM. Furthermore, we proposed a retention channel model and a read channel model for the 2TOC GC eDRAM. The Monte Carlo circuit simulation results indicate that both the retention channel and read channel can well describe the statistical properties of retention errors and read errors in the 2TOC GC eDRAM. Both channel models can be used to enhance the overall reliability of the GC eDRAM. © 2024 IEEE.

Keyword:

Cells Circuit simulation Cytology Dynamic random access storage Memory architecture Monte Carlo methods MOS devices MOSFET devices Nonvolatile storage Oxide semiconductors Semiconductor storage Static random access storage Three dimensional integrated circuits

Community:

  • [ 1 ] [Ting Xu, Yu]FZU-Jinjiang, Joint Institute of Microelectronics, Jinjiang Science and Education Park, Fuzhou University, Jinjiang, Fujian, China
  • [ 2 ] [Zheng, Xiao Bo]FZU-Jinjiang, Joint Institute of Microelectronics, Jinjiang Science and Education Park, Fuzhou University, Jinjiang, Fujian, China
  • [ 3 ] [Wang, Shao Hao]FZU-Jinjiang, Joint Institute of Microelectronics, Jinjiang Science and Education Park, Fuzhou University, Jinjiang, Fujian, China

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Year: 2024

Page: 45-49

Language: English

Cited Count:

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30 Days PV: 1

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