一种基于TaOx多功能器件的被动自适应性储备池节点

By designing a passive adaptive reservoir node based on a TaOx multifunctional device, adaptive adjustment is achieved through charge trapping and detrapping mechanisms, which solves the saturation problem of existing reservoir nodes in large-amplitude signal processing and improves computational accuracy and system efficiency.

CN121457540BActive Publication Date: 2026-07-17HUAZHONG UNIV OF SCI & TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUAZHONG UNIV OF SCI & TECH
Filing Date
2025-10-31
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing physical storage pool nodes are prone to saturation when processing large-amplitude signals, leading to a decrease in computational accuracy. Furthermore, existing adaptive schemes are complex and energy-intensive, which weakens the energy efficiency advantage of storage pool computation.

Method used

A passive adaptive reservoir node based on TaOx multifunctional devices is designed. It consists of two identical TaOx multifunctional devices and utilizes charge trapping and detrapping mechanisms to achieve simulated volatile and multi-valued non-volatile characteristics, spontaneously adjusting the dynamic range without the need for active adjustment circuitry.

Benefits of technology

It achieves adaptability to a wide range of signals, has a compact structure, is easy to operate, improves processing efficiency and adaptability, maintains stable prediction accuracy, and is suitable for large-scale, highly integrated physical reservoir networks.

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Abstract

本发明属于人工神经形态相关领域,并公开了一种基于TaOx多功能器件的被动自适应性储备池节点,该节点由两个结构相同的TaOx多功能器件组成,并且各个TaOx多功能器件均包括由下而上依次叠设的第一电极层、功能层、阻挡层以及第二电极层;在执行所设计的初始化操作前,两个TaOx多功能器件均具备模拟易失特性;而在执行初始化操作后,其中一个TaOx多功能器件具备多值非易失特性,用于自适应调控储备池节点的动态范围,另外一个TaOx多功能器件仍保持模拟易失特性,用于实现储备池节点的动态行为。通过本发明,可依据输入信号自发调节动态范围,实现对宽范围信号的自适应性且无需主动调节电路,为物理储备池的动态范围限制提供了更为高效的器件级解决方案。
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