项目名称: 适用于模拟神经突触功能的电阻可渐变调控忆阻器及其机理研究
项目编号: No.61474050
项目类型: 面上项目
立项/批准年度: 2015
项目学科: 无线电电子学、电信技术
项目作者: 孙华军
作者单位: 华中科技大学
项目金额: 85万元
中文摘要: 针对阻值可连续调控变化的忆阻器在模拟神经突触功能时存在的阻值波动性大、重复性差等问题。利用快离子导体固体电解质中的活性粒子在电场调控下的定向迁移形成的梯度型忆阻功能层和载流子在其中的非线性电场可控传输,作为忆阻器阻值渐变调控的方法。理论计算和实验研究相结合,开展忆阻器材料及器件的设计优化研究、纳米尺度忆阻器材料及器件的制备工艺研究、电学性能测试系统及特性调控方法研究、阻值渐变特性调控研究、阻值渐变机理研究。解决AgInSbTe忆阻材料组份、性能优化及器件制备中的关键基础科学问题;建立固体电解质忆阻器阻值渐变调控方法,揭示忆阻器调控信号与响应电导之间的规律,研制出机理清晰、阻值渐变可控的高性能忆阻器。为模拟神经突触功能提供理论和技术支撑;类神经突触功能的电子器件研究是实现将纳米科学、生物技术、信息技术、认知科学相结合,发展具有生物认知特征的智能机器的重要突破口,对我国原创性器件研究意义重大。
中文关键词: 忆阻器;智能器件;神经突触;固体电解质;梯度材料
英文摘要: Aiming at the problems of resistance fluctuation memristor resistance can be regulated continuously changes in synaptic function simulation when the big, bad repetition. Directional active particles using fast ion conductors in the solid electrolyte in the electric field under the control of the transfer gradient type form the memristor function layer and carrier in the nonlinear electric field controllable transmission which, as a method of memristors resistance gradient control. Theoretical calculation and experimental study of the combination, to carry out the memristor material and device design optimization study, nano scale memristor material and fabrication of electrical performance test system and the characteristics of technology research, control methods, control of the resistance characteristics, resistance mechanism of gradient. The key to solve the AgInSbTe memristor material components, performance optimization and device fabrication in scientific issues; to establish a solid electrolyte memristor resistance gradient control method, promulgates between the memristor control signal and the response of conductance of the rules, to develop a high performance memristor mechanism clear, gradual and controllable resistance. To provide theoretical and technical support for the simulation of neural synaptic function; electronic devices based on neural synaptic function is to achieve the nanotechnology, biotechnology, information technology, a combination of cognitive science, an important breakthrough in intelligent machine development has a biological cognitive characteristics, of great significance to study the original device of our country.
英文关键词: memristor;Intelligent devices;Synapses;solid electrolyte;gradient material