A new principle memristive device parameter control system based on Moku:Go

Zihan Luo; Nan Li; Xuran Tang; Yuyu Chen; Qin Wang

doi:10.1117/12.3051358

18 November 2024 A new principle memristive device parameter control system based on Moku:Go

Zihan Luo, Nan Li, Xuran Tang, Yuyu Chen, Qin Wang

Author Affiliations +

Proceedings Volume 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) ; 134032G (2024) https://doi.org/10.1117/12.3051358
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence, 2024, Zhengzhou, China

Abstract

As a new type of device discovered in recent years, memristors have many advantages such as non-volatile and multi value storage. With the improvement of research on their preparation, characterization, and testing, memristors have broad application prospects in non-volatile memory, computing/storage fusion architecture computing systems, new neural computing systems, and other fields, and are highly likely to change the physical basis of existing IT technology. Accurate weight control is the key to the application of memristors, but there are still some technical difficulties that are difficult to overcome in current research, such as the incomplete understanding of the conduction mechanism of memristors, the coexistence of multiple conduction mechanisms and their mutual transformation, which to some extent limit the largescale practical application of memristors. Therefore, this article focuses on the characteristics of memristors and designs a gate voltage feedback memristor weight precise control system using Moku: Go, a universal instrument. The system is controlled through a GUI interface and some devices are selected for testing in the prepared TiN/TaOx/HfOx/TiN memristor 1T1R array. The final test results show that the system achieves fast and accurate weight control.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zihan Luo, Nan Li, Xuran Tang, Yuyu Chen, and Qin Wang "A new principle memristive device parameter control system based on Moku:Go", Proc. SPIE 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) , 134032G (18 November 2024); https://doi.org/10.1117/12.3051358

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KEYWORDS

Resistance

Control systems

Computing systems

Modulation

Transistors

Equipment

Feedback control

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