A high-voltage characterisation platform for emerging resistive switching technologies
File(s)2205.08391v1.pdf (990.73 KB)
Accepted version
Author(s)
Shen, Jiawei
Mifsud, Andrea
Xie, Lijie
Alshaya, Abdulaziz
Papavassiliou, Christos
Type
Conference Paper
Abstract
Emerging memristor-based array architectures have been effectively employed in non-volatile memories and neuro-morphic computing systems due to their density, scalability and capability of storing information. Nonetheless, to demonstrate a practical on-chip memristor-based system, it is essential to have the ability to apply large programming voltage ranges during the characterisation procedures for various memristor technologies. This work presents a 16x16 high voltage memristor characterisation array employing high voltage CMOS circuitry. The proposed system has a maximum programming range of ±22V to allow on-chip electroforming and I-V sweep. In addition, a Kelvin voltage sensing system is implemented to improve the readout accuracy for low memristance measurements. This work addresses the limitation of conventional CMOS-memristor platforms which can only operate at low voltages, thus limiting the characterisation range and integration options of memristor technologies.
Date Issued
2022-11-11
Date Acceptance
2022-11-01
Citation
2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022, pp.3537-3541
Publisher
IEEE
Start Page
3537
End Page
3541
Journal / Book Title
2022 IEEE International Symposium on Circuits and Systems (ISCAS)
Copyright Statement
Copyright © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
https://ieeexplore.ieee.org/document/9937723
Source
2022 IEEE International Symposium on Circuits and Systems (ISCAS)
Publication Status
Published
Start Date
2022-05-27
Finish Date
2022-06-01
Date Publish Online
2022-11-11