记忆电阻器
神经形态工程学
材料科学
电阻随机存取存储器
光电子学
电压
钙钛矿(结构)
电导
重置(财务)
电阻式触摸屏
切换时间
电阻器
非易失性存储器
失真(音乐)
爆裂
电气工程
电子工程
纳米技术
电子线路
磁滞
电阻和电导
电感器
记忆晶体管
电阻率和电导率
阈值电压
模拟电子学
电极
作者
Chenhui Su,Xuemiao Wen,Wen Lei,Guanglu Lin,Tianjiao Liu,Y. F. Fan,Yibo Peng,Cuiying Hu,Zhenfang Tang,Zhichao Chen,Shuyan Fang,Renqiang Yang,Dongping Yang,Xingui Tang,Lintao Hou
摘要
With the advent of the information age, the demand for memristors in neuromorphic circuits and artificial intelligence has become increasingly urgent. In this Letter, analog- and digital-type resistive switching is concurrently obtained in quasi-2D perovskite memristors by regulating elemental composition and crystallinity. For the high Pb sample treated with MACl, continuous enhancement and suppression of analog-type conductance are achieved under direct current voltage sweep and voltage pulse stimulation, which shows 62.2% enhancement and 68.4% inhibition after long-term synaptic plasticity. The analog-type memristor also presents good spike voltage-dependent and frequency-dependent plasticities with a paired-pulse facilitation index of 55.5%. In contrast, for the low Pb sample treated with MACl, the lattice distortion and crystal defects are further decreased, leading to a sudden change of digital-type resistance in the current−voltage curve. The digital-type memristor has very good non-volatile memory performance with a resistance-to-switch ratio of 5 × 103, an endurance of more than 2100 cycles, a retention characteristic of more than 104 s, a statistical set voltage of 0.55 V, and a reset voltage of −1 V. This study elucidates analog and digital resistive switching mechanism in quasi-2D perovskites and demonstrates their significant potential and prospects in neuronal circuit and storage-computing technologies.
科研通智能强力驱动
Strongly Powered by AbleSci AI