A bifunctional memristor enables multiple neuromorphic computing applications

N Lyapunov, XD Zheng, K Yang, HM Liu… - Advanced Electronic …, 2022 - Wiley Online Library
N Lyapunov, XD Zheng, K Yang, HM Liu, K Zhou, SH Cai, TL Ho, CH Suen, M Yang, J Zhao
Advanced Electronic Materials, 2022Wiley Online Library
As a promising building block of the emerging neuromorphic computing hardware,
memristive structures with multi‐functionalities are highly desired to implement diversified
computing applications in a single device. However, the demonstration of such multi‐
functional structures remains limited. In this work, an Ag/GeS/Pt‐based bifunctional memory
structure with both long‐term and short‐term memristive behaviors is reported, enabling
multiple neuromorphic computing applications in a single device. It is found that the …
Abstract
As a promising building block of the emerging neuromorphic computing hardware, memristive structures with multi‐functionalities are highly desired to implement diversified computing applications in a single device. However, the demonstration of such multi‐functional structures remains limited. In this work, an Ag/GeS/Pt‐based bifunctional memory structure with both long‐term and short‐term memristive behaviors is reported, enabling multiple neuromorphic computing applications in a single device. It is found that the unexpected short‐term switching in Ag/GeS/Pt can not only be used to simulate learning/relearning and forgetting behavior but can also be implemented for reservoir computing. While for long‐term switching memristive behavior, its application is demonstrated as the traditional memory. The work reveals a novel coexistence of the two types of resistive switching, shedding light on various neuromorphic computing applications such as reservoir computing and traditional memory realized in a single memristive device.
Wiley Online Library
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