神经形态工程学
记忆电阻器
计算机科学
块(置换群论)
算法
电子工程
拓扑(电路)
材料科学
电气工程
人工智能
工程类
人工神经网络
数学
几何学
作者
Dhirendra Vaidya,Shraddha Kothari,Thomas Abbey,Ali Khiat,Spyros Stathopoulos,L. Michalas,Alexantrou Serb,Themistoklis Prodromakis
标识
DOI:10.1109/ted.2021.3101996
摘要
Memristor is a promising device as a fundamental building block for future unconventional system architectures such as neuromorphic computing, reconfigurable logic, and multibit memories. Therefore, to facilitate circuit design using memristors, accurate and efficient models spanning a wide range of programming voltages and temperatures are required. In the first part of this series, we propose a behavioral model for temperature dependence of nonvolatile switching dynamics of TiO x memristors. We begin by describing pulsed resistance transients (PRTs) of the memristors and then we use a multistage methodology to establish bias and temperature dependence of the model parameters. The proposed model is then shown to accurately describe the PRT characteristics of Pt/TiO x /Au and Pt/TiO x /Pt memristors.
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