电阻随机存取存储器
材料科学
记忆电阻器
纳米技术
非易失性存储器
实现(概率)
神经形态工程学
突触
数码产品
计算机科学
人工神经网络
电子工程
光电子学
电气工程
工程类
人工智能
神经科学
电压
生物
数学
统计
作者
Xiaojuan Lian,Xinyi Shen,Jinke Fu,Zhixuan Gao,Xiang Wan,Xiaoyan Liu,Ertao Hu,Jianguang Xu,Yi Tong
出处
期刊:Electronics
[Multidisciplinary Digital Publishing Institute]
日期:2020-12-09
卷期号:9 (12): 2098-2098
被引量:46
标识
DOI:10.3390/electronics9122098
摘要
Utilizing electronic devices to emulate biological synapses for the construction of artificial neural networks has provided a feasible research approach for the future development of artificial intelligence systems. Until now, different kinds of electronic devices have been proposed in the realization of biological synapse functions. However, the device stability and the power consumption are major challenges for future industrialization applications. Herein, an electronic synapse of MXene/SiO2 structure-based resistive random-access memory (RRAM) devices has been designed and fabricated by taking advantage of the desirable properties of SiO2 and 2D MXene material. The proposed RRAM devices, Ag/MXene/SiO2/Pt, exhibit the resistance switching characteristics where both the volatile and nonvolatile behaviors coexist in a single device. These intriguing features of the Ag/MXene/SiO2/Pt devices make them more applicable for emulating biological synaptic plasticity. Additionally, the conductive mechanisms of the Ag/MXene/SiO2/Pt RRAM devices have been discussed on the basis of our experimental results.
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