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Organic-2D composite material-based RRAM with high reliability for mimicking synaptic behavior 被引量:1
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作者 Tangyou Sun fantao yu +9 位作者 Xiaosheng Tang Haiou Li Fabi Zhang Zhimou Xu Qing Liao Zhiqiang yu Xingpeng Liu Peihua Wangyang Hezhang Li Ying Peng 《Journal of Materiomics》 SCIE CSCD 2024年第2期440-447,共8页
The field of artificial intelligence and neural computing has been rapidly expanding due to the imple-mentation of resistive random-access memory(RRAM)based artificial synaptic.However,the low flexibility of conventio... The field of artificial intelligence and neural computing has been rapidly expanding due to the imple-mentation of resistive random-access memory(RRAM)based artificial synaptic.However,the low flexibility of conventional RRAM materials hinders their ability to mimic synaptic behavior accurately.To overcome such limitation,organic-2D composites with high mechanical properties are proposed as the active layer of RRAM.Moreover,we enhance the reliability of the device by ZrO_(2)insertion layer,resulting in stable synaptic performance.The Ag/PVA:h-BN/ZrO_(2)/ITO devices show stable bipolar resistive switching behavior with an ON/OFF ratio of over 5×10^(2),a~2400 cycles endurance and a long retention time(>6×10^(3)s),which are essential for the development of high-performance RRAMs.We also study the possible synaptic mechanism and dynamic plasticity of the memory device,observing the transition from short-term potentiation(STP)to long-term potentiation(LTP)under the effect of continuous voltage pulses.Moreover,the device exhibits both long-term depression(LTD)and paired-pulse facili-tation(PPF)properties,which have significant implications for the design of organic-2D composite material RRAMs that aim to mimic biological synapses,representing promising avenues for the devel-opment of advanced neuromorphic computing systems. 展开更多
关键词 Resistive random-access memory Synaptic mimicking Organic-2D composite material Neuromorphic computing
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