神经形态工程学
记忆电阻器
计算机科学
瓶颈
逻辑门
密码学
突触重量
计算机体系结构
逻辑综合
密码系统
主观逻辑
电子工程
计算机工程
理论计算机科学
嵌入式系统
逻辑族
硬件安全模块
数字电子学
电子线路
纳米电子学
集合(抽象数据类型)
和大门
数码产品
还原(数学)
编码(内存)
布尔函数
功率消耗
逻辑块
集成电路
可编程逻辑器件
作者
Xiang Zhang,Lin Ge,H SUN,Fengxia Yang,Xiaofei Dong,Jianbiao Chen,Xuqiang Zhang,Jiangtao Chen,Yuanzhang Zhao,Yan Li
出处
期刊:Small
[Wiley]
日期:2025-12-31
卷期号:: e05382-e05382
标识
DOI:10.1002/smll.202505382
摘要
ABSTRACT Neuromorphic computing leveraging synaptic memristors has emerged as a cutting‐edge approach to overcome the limitations of conventional computing architectures and address the bottleneck in information security. However, exploring emerging circuit designs based on memristors and their potential applications in unconventional fields hold critical significance for accomplishing tasks that are challenging for traditional electronic devices. Herein, the CuSe is employed as the functional layer to assemble Ag/CuSe/ITO structured synaptic memristor, focusing on their synaptic behaviors, multi‐level storage capabilities, and applications for logic circuit design and information security encryption. The device exhibits a high switching ratio (> 10 3 ), excellent durability (> 10 4 s), power consumption (∼10 −8 J), and diverse synaptic plasticity simulations (EPSC, LTP/LTD, PPF/PPD, STDP). Furthermore, using a single pair of such CuSe memristors without any reconfiguring connections, the four fundamental multi‐functional logic operations (AND, OR, NAND, NOR) are effectively realized. This forms the Minimal Boolean Basis and enables all 16 Boolean operations, establishing a complete set of reconfigurable logic functions. Particularly, a dual‐key unclonable cryptosystem is successfully designed for realizing hardware‐level encryption/decryption of digital signals, images, and audio data. This work successfully achieves the integration of memristors with logic circuits and widens a novel way for advancements in information security.
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