Graphene Oxide-Based Memristive Logic-in-Memory Circuit Enabling Normally-Off Computing

Author:

Kim Yeongkwon1,Jeon Seung-Bae2,Jang Byung Chul13

Affiliation:

1. School of Electronic and Electrical Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, Republic of Korea

2. Department of Electronic Engineering, Hanbat National University, 125 Dongseo-daero, Yuseong-gu, Daejeon 34158, Republic of Korea

3. School of Electronics Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, Republic of Korea

Abstract

Memristive logic-in-memory circuits can provide energy- and cost-efficient computing, which is essential for artificial intelligence-based applications in the coming Internet-of-things era. Although memristive logic-in-memory circuits have been previously reported, the logic architecture requiring additional components and the non-uniform switching of memristor have restricted demonstrations to simple gates. Using a nanoscale graphene oxide (GO) nanosheets-based memristor, we demonstrate the feasibility of a non-volatile logic-in-memory circuit that enables normally-off in-memory computing. The memristor based on GO film with an abundance of unusual functional groups exhibited unipolar resistive switching behavior with reliable endurance and retention characteristics, making it suitable for logic-in-memory circuit application. In a state of low resistance, temperature-dependent resistance and I-V characteristics indicated the presence of a metallic Ni filament. Using memristor-aided logic (MAGIC) architecture, we performed NOT and NOR gates experimentally. Additionally, other logic gates such as AND, NAND, and OR were successfully implemented by combining NOT and NOR universal logic gates in a crossbar array. These findings will pave the way for the development of next-generation computer systems beyond the von Neumann architecture, as well as carbon-based nanoelectronics in the future.

Funder

Ministry of Education

National Research Foundation of Korea

Publisher

MDPI AG

Subject

General Materials Science,General Chemical Engineering

Reference44 articles.

1. A system hierarchy for brain-inspired computing;Zhang;Nature,2020

2. A Logic-in-Memory Computer;Stone;IEEE Trans. Comput.,1970

3. Cellular Logic-in-Memory Arrays;Kautz;IEEE Trans. Comput.,1969

4. Processing-in-memory: A workload-driven perspective;Ghose;IBM J. Res. Dev.,2019

5. The Economic Limit to Moore’s Law;Rupp;IEEE Trans. Semicond. Manuf.,2011

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