標題: | Volatile Resistive Switching Memory Based on Ag Ion Drift/Diffusion-Part II: Compact Modeling |
作者: | Wang, Wei Laudato, Mario Ambrosi, Elia Bricalli, Alessandro Covi, Erika Lin, Yu-Hsuan Ielmini, Daniele 電子工程學系及電子研究所 Department of Electronics Engineering and Institute of Electronics |
關鍵字: | Analytical model;neuromorphic computing;retention time;selective device;volatile switching |
公開日期: | 1-九月-2019 |
摘要: | Resistive-switching random access memory (RRAM) based on Cu or Ag filament is a promising selector device for high-density crosspoint arrays. These devices display high ON-OFF ratio, volatile switching, high switching speed, and long endurance, supporting the adoption in large memory arrays. However, the mechanism of volatile switching is not clear yet, which prevents the development of compact models for circuit design and simulation. Based on an extensive study of the switching mechanism, we report an analytical model that captures all electrical characteristics of the device, including switching, recovery, and their dependence on the applied voltage. We use the analytical model to simulate the circuit-level behavior of the device as long/short term memory synapse. |
URI: | http://dx.doi.org/10.1109/TED.2019.2928888 http://hdl.handle.net/11536/152824 |
ISSN: | 0018-9383 |
DOI: | 10.1109/TED.2019.2928888 |
期刊: | IEEE TRANSACTIONS ON ELECTRON DEVICES |
Volume: | 66 |
Issue: | 9 |
起始頁: | 3802 |
結束頁: | 3808 |
顯示於類別: | 期刊論文 |