A Transient and Biocompatible Biomemristor Integrated with NonVolatile Memory and Artificial Synapse

神经形态工程学 记忆电阻器 材料科学 生物电子学 生物相容性材料 非易失性存储器 数码产品 计算机数据存储 计算机科学 纳米技术 瞬态(计算机编程) 突触 人工智能 人工神经网络 电子工程 电气工程 计算机硬件 光电子学 工程类 生物医学工程 神经科学 生物传感器 操作系统 生物
作者
Qi Xue,Ke Zhang,Jianghu Liang,Yu Sun,Xiaonong Zhang,Chun‐Chao Chen,Yunwen Wu,Huiqin Ling,Ming Li,Tao Hang
出处
期刊:Advanced Materials Interfaces [Wiley]
卷期号:9 (32) 被引量:4
标识
DOI:10.1002/admi.202201280
摘要

Abstract Transient electronics have been intensively studied due to their potential in bio‐diagnostics and therapeutic areas. However, most devices only serve as the terminal of data collection and storage, and the clinical decision must rely on doctor analysis, which cannot provide timely warning and treatment when facing an emergency. Thus, it is critically important to build a device integrated with data storage and neuromorphic computing that can operate in physiological environments. In this work, a multifunctional memristor with an Ag/combustion zinc oxide/W structure is proposed. The memristor exhibits reliable digital resistive switching performance, including a uniform switching voltage, stable retention time, and robust on/off ratio. Simultaneously, the conductance‐modulation capabilities along with biological synaptic behaviors such as short/long‐term plasticity are fulfilled in this memristor. Moreover, a three‐layer memristor‐based neuromorphic network is constructed to perform pattern recognition and achieves a high accuracy of more than 92.2 percent. Dissolution and cell toxicity tests demonstrate the degradable and biocompatible characteristics of the memristor. This work may provide a feasible strategy to integrate information processing and data storage into one biomemristor and pave the way for innovating artificial synapses in bioelectronics applications.

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