Enhancing memristor performance with 2D SnOx/SnS2 heterostructure for neuromorphic computing

被引:0
|
作者
Wu, Yangwu [1 ,2 ]
Li, Sifan [2 ]
Ji, Yun [2 ]
Weng, Zhengjin [3 ]
Xing, Houying [1 ]
Arauz, Lester [4 ]
Hu, Travis [4 ]
Hong, Jinhua [5 ]
Ang, Kah-Wee [1 ,2 ]
Liu, Song [1 ,6 ]
机构
[1] Hunan Univ, Coll Chem & Chem Engn, State Key Lab Chemo Biosensing & Chemometr, Changsha 410082, Peoples R China
[2] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117583, Singapore
[3] Southeast Univ, Sch Elect Sci & Engn, Joint Int Res Lab Informat Display & Visualizat, Nanjing 210096, Peoples R China
[4] Calif State Univ, Dept Mech Engn, 5151 State Univ Dr, Los Angeles, CA 90032 USA
[5] Hunan Univ, Coll Mat Sci & Engn, Changsha 410082, Peoples R China
[6] Hunan Univ, Shenzhen Res Inst, Shenzhen 518000, Peoples R China
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
SnO<italic>x</italic>/SnS2; oxidation; layered metal dichalcogenides; convolutional image processing; neuromorphic computing; MEMTRANSISTORS;
D O I
10.1007/s40843-024-3208-3
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Layered metal dichalcogenides (LMDs) neuromorphic memristor devices offer a promising alternative to conventional von Neumann architectures, addressing speed and energy efficiency constraints. However, challenges remain in controlling resistive switching and operating voltage in crystalline LMD memristors due to environmental stabilization issues, which hinder neural network hardware development. Herein, we introduce an optimization method for memristor operation by controlling oxidation through ozone treatment, creating a SnOx/SnS2 resistive layer. These optimized memristors demonstrate low switching voltages (similar to 1 V), rapid switching speeds (similar to 20 ns), high switching ratios (102), and the ability to emulate synaptic weight plasticity. Cross-sectional transmission electron microscopy and energy-dispersive X-ray spectroscopy identified defects and Ti conductive filaments in the resistive switching layer, contributing to uniform switching and minimized operating variation. The device achieved 90% accuracy in MNIST handwritten recognition, and hardware-based image convolution was successfully implemented, showcasing the potential of SnOx/SnS2 memristors for neuromorphic applications. (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(LMDs)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)<middle dot>(sic)(sic) (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic). (sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)LMDs(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) (sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic). (sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)SnOx/SnS2(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic). (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic) (sic)(sic)(sic)(sic)(sic)(similar to 1 V),(sic)(sic)(sic)(sic)(sic)(sic)(similar to 20 ns),(sic)(sic)(sic)(sic)(sic)(102), (sic)(sic)(sic) (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic). (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)X(sic)(sic)(sic)(sic)(sic) (sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)Ti(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic) (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic). (sic)(sic), SnOx/SnS2(sic)(sic)(sic)(sic)MNIST(sic)(sic)(sic) (sic)(sic)(sic)(sic)(sic)90%(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic) (sic)(sic)SnOx/SnS2(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).
引用
收藏
页码:581 / 589
页数:9
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