Bin Zhao, Xuan Zhao, Xiaochen Xun, Fangfang Gao, Qi Li, Jiayi Sun, Tian Ouyang, Qingliang Liao, Yue Zhang
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引用次数: 0
Abstract
Emerging memristor synapses with ion dynamics have the potential to process spatiotemporal information and can accelerate the development of energy-efficient neuromorphic computing. However, conventional ion-migration-type memristors suffer from low switching speed and uncontrollable conductance modulation, hindering energy-efficient neuromorphic hardware implementation. Here, ion intercalation-mediated conductance switching in MoS2 is introduced for a highly energy-efficient memristor synapse (HEMS) to accurately emulate the bio-synaptic function. Li-ion intercalation into the few-layer MoS2 can induce structural evolution, thereby achieving high-speed and controllable conductance modulation in HEMS. Consequently, the HEMS exhibits highly energy efficiency with a fast switching speed of 500 ns and low energy consumption of 2.85 fJ per synaptic event. The stable bidirectional modulation of synaptic plasticity by consecutive voltage pulses of 5000 times can be achieved in the HEMS. Besides, the HEMS is endowed with logic functions and can process multiple sets of inputs in parallel for information integration. This work offers an alternative strategy for fast-speed conductance modulation via ion intercalation to develop energy-efficient memristors in future neuromorphic computing.
期刊介绍:
Advanced Electronic Materials is an interdisciplinary forum for peer-reviewed, high-quality, high-impact research in the fields of materials science, physics, and engineering of electronic and magnetic materials. It includes research on physics and physical properties of electronic and magnetic materials, spintronics, electronics, device physics and engineering, micro- and nano-electromechanical systems, and organic electronics, in addition to fundamental research.