Abstract

Cellular automata (CA) are computational systems that exhibit complex global behavior arising from simple local rules, making them a fascinating candidate for various research areas. However, challenges such as limited flexibility and efficiency on conventional hardware platforms still exist. In this study, we propose a memristor-based circuit for implementing elementary cellular automata (ECA) by extending the stateful three-memristor logic operations derived from material implication (IMP) logic gates. By leveraging the inherent physical properties of memristors, this approach offers simplicity, minimal operational steps, and high flexibility in implementing ECA rules by adjusting the circuit parameters. The mathematical principles governing circuit parameters are analyzed, and the evolution of multiple ECA rules is successfully demonstrated, showcasing the robustness in handling the stochastic nature of memristors. This approach provides a hardware solution for ECA implementation and opens up new research opportunities in the hardware implementation of CA.

Details

Title
Elementary cellular automata realized by stateful three-memristor logic operations
Author
Wang, Hongzhe 1 ; Wang, Junjie 1 ; Yan, Shiqin 1 ; Pan, Ruicheng 1 ; Sun, Mingyuan 2 ; Yu, Qi 1 ; Chen, Tupei 3 ; Chen, Lei 4 ; Liu, Yang 1 

 University of Electronic Science and Technology of China, State Key Laboratory of Electronic Thin Films and Integrated Devices, Chengdu, China (GRID:grid.54549.39) (ISNI:0000 0004 0369 4060) 
 China Changfeng Mechanics and Electronics Technology Academy, Beijing, China (GRID:grid.54549.39) 
 Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore, Singapore (GRID:grid.59025.3b) (ISNI:0000 0001 2224 0361) 
 Beijing Microelectronics Technology Institute, Beijing, China (GRID:grid.495597.3) 
Pages
2677
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2920958416
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.