Emulation of Learning and Memory Behaviors by Memristor Based on Ag Migration on 2D MoS2 Surface

Electrochemical metallization memories (ECM)‐based memristors are widely regarded as potential electronic devices for neuromorphic computing. However, in ECM‐based memristors, the formation of metallic conducting filament in insulating layer will cause an abrupt current increase, making it hard for...

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Veröffentlicht in:Physica status solidi. A, Applications and materials science Applications and materials science, 2019-07, Vol.216 (14), p.n/a
Hauptverfasser: Yin, Siqi, Luo, Zhaochu, Li, Qian, Xiong, Chengyue, Liu, Yunlong, Singh, Rajan, Zeng, Fei, Zhong, Yi, Zhang, Xiaozhong
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Sprache:eng
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Zusammenfassung:Electrochemical metallization memories (ECM)‐based memristors are widely regarded as potential electronic devices for neuromorphic computing. However, in ECM‐based memristors, the formation of metallic conducting filament in insulating layer will cause an abrupt current increase, making it hard for analog neuromorphic emulation. Here, a memristor fabricated by using two‐dimensional (2D) semiconductor MoS2 that can provide atomically smooth and semi‐insulating surface as the medium for electric‐field‐driven migration of conducting filaments is proposed. This memristor based on the Ag ions migration on 2D MoS2 surface exhibits gradual conductance change behavior. Microstructure characterization shows that such gradual conductance change behavior can be attributed to the formation of conducting filament composed of a chain of metallic Ag nanoparticles of ≈5 nm at ON‐state device. By comparing with biological experimental data, it is found that our device can well mimic the learning behavior of Drosophila. Finding shows the potential to realize stable analog ECM‐based memristors and paves the way for fabricating large‐scale memristor network. Two‐dimensional MoS2 can provide a smooth and semi‐insulating surface as the migration medium for Ag ions under the electric field. Based on this, the authors fabricate a memristor which exhibits a continuous conductance change and can well mimic the learning behavior of Drosophila.
ISSN:1862-6300
1862-6319
DOI:10.1002/pssa.201900104