GeSeTe-based OTS selector integrated with ReRAM for high-density 1S-1R memory arrays

被引:0
|
作者
Seo, Hyun Kyu [1 ]
Lee, June Hyuk [1 ]
Yang, Min Kyu [1 ]
机构
[1] Sahmyook Univ, Dept Artificial Intelligence Convergence, 815 Hwarang Ro, Seoul 01795, South Korea
基金
新加坡国家研究基金会;
关键词
INTELLIGENCE;
D O I
10.1063/5.0252225
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
In this study, we developed a high-performance binary Ovonic Threshold Switching (OTS) selector based on GeSeTe and a resistive random access memory (ReRAM) device based on TaOx. These were integrated into a 1 Selector-1 ReRAM (1S-1R) architecture to address challenges in high-density memory and advanced computing. The GeSeTe-based OTS selector exhibited a high switching ratio (I-on/I-off > 10(5)), ultra-low off-current (similar to 1 nA), and fast switching speed (<10 ns), while the TaOx-based ReRAM achieved a high on/off ratio (>20), rapid switching (100 ns), excellent endurance (>10(9) cycles), and stable retention at 125 degrees C. The integrated 1S-1R structure effectively suppressed leakage currents using a 1/2 bias scheme and was scaled to a 1 kb X-point memory array. The array demonstrated stable conductance distribution and efficient multiply-and-accumulate operations, with consistency between experimental and theoretical results validating its scalability and reliability. This work highlights the potential of the 1S-1R architecture for next-generation memory and neuromorphic systems, providing a scalable, energy-efficient solution for data-intensive applications by leveraging the complementary strengths of GeSeTe-based OTS selectors and TaOx-based ReRAM devices.
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页数:6
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