记忆电阻器
神经形态工程学
振荡(细胞信号)
电阻器
铌
材料科学
氧化物
热传导
电气元件
壳体(结构)
光电子学
电子工程
电压
计算机科学
电气工程
化学
工程类
人工神经网络
机器学习
复合材料
冶金
生物化学
作者
Xinjun Liu,Peng Zhang,Shimul Kanti Nath,Shuai Li,Sanjoy Kumar Nandi,R. G. Elliman
标识
DOI:10.1088/1361-6463/ac3bf4
摘要
Abstract Volatile memristors, or threshold switching devices, exhibit a diverse range of negative differential resistance (NDR) characteristics under current-controlled operation and understanding the origin of these responses is of great importance for exploring their potential as nano-scale oscillators for neuromorphic computing. Here we use a previously developed two-zone, parallel memristor model to undertake a systematic analysis of NDR modes in two-terminal metal-oxide-metal devices. The model assumes that the non-uniform current distribution associated with filamentary conduction can be represented by a high current density core and a lower current-density shell where the core is assumed to have a memristive response due to Poole-Frenkel conduction and the shell is represented by either a fixed resistor or a second memristive region. A detailed analysis of the electrical circuits is undertaken using a lumped-element thermal model of the core-shell structure, and is shown to reproduce continuous and discontinuous NDR responses, as well as more complex compound behaviour. Finally, an interesting double-window oscillation behaviour is predicted and experimentally verified for a device with compound NDR behaviour. These results clearly identify the origin of different NDR responses and provide a strong basis for designing devices with complex NDR characteristics.
科研通智能强力驱动
Strongly Powered by AbleSci AI