记忆电阻器
材料科学
电阻随机存取存储器
计算机数据存储
神经形态工程学
突触
光电子学
储能
计算机科学
纳米技术
电子工程
电气工程
人工神经网络
计算机硬件
电压
人工智能
工程类
物理
神经科学
生物
功率(物理)
量子力学
作者
Yuanyuan Zhu,Mengyao Chen,Hongbing Lu,Pengtao Mi,Daobin Luo,Youqing Wang,Yong Liu,Rui Xiong,Hongjun Wang
摘要
Implementation of tunable digital and analog resistive switching (RS) behaviors for memristors is crucial toward their development in data storage and energy-efficient computations. Herein, the CsPbBr3 film-based RS memristors with different switching film thickness and adaptable electrodes are constructed, which are implemented by the solution processed method. All the constructed memristors demonstrate stable bipolar switching behaviors, and in special, the gradual analog RS behavior with multi-level conductance is observed for the thin memristor, making it as the promising artificial synapse. As a comparison, the thick memristor demonstrates digital abrupt RS behavior, accompanying with a high memory window (>103), which can be applied in data storage field. Furthermore, the evolution of conductive filaments, stemming from synergetic bromine vacancies and aluminum atoms, is proposed to clarify the distinguished dynamic changes in the RS process. This work provides an optimization strategy to tune RS behavior for CsPbBr3-based RS memristors and paves the way for both data storage and artificial synapse applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI