神经形态工程学
材料科学
光电子学
锡
欧姆接触
电阻随机存取存储器
记忆电阻器
非易失性存储器
重置(财务)
电压
计算机科学
图层(电子)
纳米技术
电气工程
人工智能
工程类
经济
冶金
金融经济学
人工神经网络
作者
Muhammad Ismail,Chandreswar Mahata,Myounggon Kang,Sungjun Kim
出处
期刊:Nanomaterials
[MDPI AG]
日期:2023-09-21
卷期号:13 (18): 2603-2603
被引量:8
摘要
In this study, we fabricate a Pt/TiN/SnOx/Pt memory device using reactive sputtering to explore its potential for neuromorphic computing. The TiON interface layer, formed when TiN comes into contact with SnO2, acts as an oxygen vacancy reservoir, aiding the creation of conductive filaments in the switching layer. Our SnOx-based device exhibits remarkable endurance, with over 200 DC cycles, ON/FFO ratio (>20), and 104 s retention. Set and reset voltage variabilities are impressively low, at 9.89% and 3.2%, respectively. Controlled negative reset voltage and compliance current yield reliable multilevel resistance states, mimicking synaptic behaviors. The memory device faithfully emulates key neuromorphic characteristics, encompassing both long-term potentiation (LTP) and long-term depression (LTD). The filamentary switching mechanism in the SnOx-based memory device is explained by an oxygen vacancy concentration gradient, where current transport shifts from Ohmic to Schottky emission dominance across different resistance states. These findings exemplify the potential of SnOx-based devices for high-density data storage memory and revolutionary neuromorphic computing applications.
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