摘要
Artificial synaptic memristors, with their adjustable and non-volatile resistance, present a promising path for neuromorphic computing (NC). Inspired by the salting-out producing dense fractal dendritic morphologies, a dendritic ion framework composed of LiClO4·3H2O (LCO) and polyvinyl alcohol (PVA) is prepared by spin coating. The functionalized dendritic Pt/MoS2@LCO-PVA/Si memristor boasts 1,670 endurance cycles and a retention time exceeding 104 s. MoS2 nanosheets act as the intermediate to improve ion transportation and storage, and the multi-local enhanced electric field is verified by multi-physics COMSOL simulation. Synaptic plasticity, such as spike-voltage-dependent plasticity, long-term potentiation/depression, and spike-timing-dependent plasticity are also investigated. The dendritic device achieves a digit recognition accuracy of 91.4 % according to simulations of artificial neural networks. The results reveal a new approach that expands the applications of NC.
| 源语言 | 英语 |
|---|---|
| 文章编号 | 161487 |
| 期刊 | Chemical Engineering Journal |
| 卷 | 509 |
| DOI | |
| 出版状态 | 已出版 - 1 4月 2025 |
学术指纹
探究 'Functionalized dendritic memristor of Pt/MoS2@LCO-PVA/Si for Mimicking synaptic behavior' 的科研主题。它们共同构成独一无二的学术指纹。引用此
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