记忆电阻器
电阻随机存取存储器
神经形态工程学
材料科学
电压
光电子学
扩散
离子
低压
纳米技术
氧化物
计算机科学
电气工程
化学
物理
人工神经网络
工程类
有机化学
热力学
机器学习
冶金
作者
Dinh Phuc,Viet Q. Bui,Minh Chien Nguyen,Sohyeon Seo,Van Dam,Joosung Kim,Jungsue Choi,Hyun Ko,Woo Jong Yu,Yoshiyuki Kawazoe,Hyoyoung Lee
出处
期刊:Nano Letters
[American Chemical Society]
日期:2024-06-20
卷期号:24 (26): 7999-8007
被引量:2
标识
DOI:10.1021/acs.nanolett.4c01629
摘要
The rapid increase in data storage worldwide demands a substantial amount of energy consumption annually. Studies looking at low power consumption accompanied by high-performance memory are essential for next-generation memory. Here, Graphdiyne oxide (GDYO), characterized by facile resistive switching behavior, is systematically reported toward a low switching voltage memristor. The intrinsic large, homogeneous pore-size structure in GDYO facilitates ion diffusion processes, effectively suppressing the operating voltage. The theoretical approach highlights the remarkably low diffusion energy of the Ag ion (0.11 eV) and oxygen functional group (0.6 eV) within three layers of GDYO. The Ag/GDYO/Au memristor exhibits an ultralow operating voltage of 0.25 V with a GDYO thickness of 5 nm; meanwhile, the thicker GDYO of 29 nm presents multilevel memory with an ON/OFF ratio of up to 104. The findings shed light on memory resistive switching behavior, facilitating future improvements in GDYO-based devices toward opto-memristors, artificial synapses, and neuromorphic applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI