Optically Stimulated Synaptic Devices Based on the Hybrid Structure of Silicon Nanomembrane and Perovskite
Autor: | Wen Huang, Rulei Xiao, Lei Yin, Yiyue Zhu, Yiqiang Zhang, Deren Yang, Xiaodong Pi, Wenbing Peng |
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Rok vydání: | 2020 |
Předmět: |
Materials science
Silicon business.industry Mechanical Engineering Transistor chemistry.chemical_element Bioengineering 02 engineering and technology General Chemistry 021001 nanoscience & nanotechnology Condensed Matter Physics law.invention Low energy Neuromorphic engineering chemistry law Optical stimulation Excitatory postsynaptic potential Optoelectronics General Materials Science 0210 nano-technology business Perovskite (structure) |
Zdroj: | Nano Letters. 20:3378-3387 |
ISSN: | 1530-6992 1530-6984 |
DOI: | 10.1021/acs.nanolett.0c00298 |
Popis: | Optoelectronic synaptic devices have been attracting increasing attention due to their critical role in the development of neuromorphic computing based on optoelectronic integration. Here we start with silicon nanomembrane (Si NM) to fabricate optoelectronic synaptic devices. Organolead halide perovskite (MAPbI3) is exploited to form a hybrid structure with Si NM. We demonstrate that synaptic transistors based on the hybrid structure are very sensitive to optical stimulation with low energy consumption. Synaptic functionalities such as excitatory post-synaptic current (EPSC), paired-pulse facilitation, and transition from short-term memory to long-term memory (LTM) are all successfully mimicked by using these optically stimulated synaptic transistors. The backgate-enabled tunability of the EPSC of these devices further leads to the LTM-based mimicking of visual learning and memory processes under different mood states. This work contributes to the development of Si-based optoelectronic synaptic devices for neuromorphic computing. |
Databáze: | OpenAIRE |
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