A pentagonal 2D layered PdSe 2 -based synaptic device with a graphene floating gate

Recently, two-dimensional (2D) materials have attracted great attention from researchers to overcome the limitations of conventional semiconductor materials. Specifically, 2D materials offer great advantages for low power consumption and robust endurance, which are required to achieve the key charac...

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Veröffentlicht in:Journal of materials chemistry. C, Materials for optical and electronic devices Materials for optical and electronic devices, 2022-11, Vol.10 (43), p.16536-16545
Hauptverfasser: Park, Eunpyo, Seo, Jae Eun, Noh, Gichang, Jo, Yooyeon, Woo, Dong Yeon, Kim, In Soo, Park, Jongkil, Kim, Jaewook, Jeong, YeonJoo, Lee, Suyoun, Kim, Inho, Park, Jong-Keuk, Kim, Sangbum, Chang, Jiwon, Kwak, Joon Young
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Sprache:eng
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Zusammenfassung:Recently, two-dimensional (2D) materials have attracted great attention from researchers to overcome the limitations of conventional semiconductor materials. Specifically, 2D materials offer great advantages for low power consumption and robust endurance, which are required to achieve the key characteristics of non-volatile memory. Herein, we introduce a pentagonal 2D layered PdSe 2 channel-based floating gate memory with a positive threshold voltage, which can potentially enable the device to be turned off around zero gate bias to reduce power consumption, and observe a multi-bit conductance state with reliable retention time. We demonstrated 64 levels of conductance states to mimic synaptic weight behaviors with only using positive voltage pulses. An artificial neural network emulation based on our device demonstrated a high handwritten digit recognition accuracy of ∼90%. In addition, one of the popular biological learning rules, spike-timing-dependent plasticity (STDP), was successfully realized in the device with identical triangular-shaped pulses by applying them separately. The experimental results from our device suggest promising potential for use in the field of non-volatile memory devices and in neuromorphic systems.
ISSN:2050-7526
2050-7534
DOI:10.1039/D2TC03544H