The logical performance comparison and research of new memristor models

Luanjing Li; Yukun Lian; Haoran Zong

doi:10.1117/12.2641213

19 October 2022 The logical performance comparison and research of new memristor models

Luanjing Li, Yukun Lian, Haoran Zong

Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 122941O (2022) https://doi.org/10.1117/12.2641213
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China

Abstract

This paper presents the optimized memristor model based on the classical HP memristor model and the bipolar threshold behavior memristor model. This paper shows the mathematical modeling process of this optimized memristor model and the basic circuit principle of this optimized bipolar threshold behavior memristor model. The optimized bipolar threshold behavior memristor model is simulated by using OrCAD Pspice. We compared the optimized VTEAM memristor model with the classical HP memristor model in this paper and found the optimized bipolar threshold behavior memristor model has the superiority in switching characteristic and logical performance by the alternating voltage signal, which would be useful for new logical devices.

Citation Download Citation

Luanjing Li, Yukun Lian, and Haoran Zong "The logical performance comparison and research of new memristor models", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 122941O (19 October 2022); https://doi.org/10.1117/12.2641213

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available