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An artificial synapse based on molecular junctions

delete2023-01-16
delete27
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OA
AI
Y
Yuchun Zhang
L
Lin Liu
涂斌 封面图
涂斌 (Bin Tu)
B
Bin Cui
J
Jiahui Guo
赵
赵星 (Xing Zhao)
J
Jingyu Wang
Y
Yong Yan *
DOI:10.1038/s41467-023-35817-5delete
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摘要

摘要

En 中文
Shrinking the size of the electronic synapse to molecular length-scale, for example, an artificial synapse directly fabricated by using individual or monolayer molecules, is important for maximizing the integration density, reducing the energy consumption, and enabling functionalities not easily achieved by other synaptic materials. Here, we show that the conductance of the self-assembled peptide molecule monolayer could be dynamically modulated by placing electrical biases, enabling us to implement basic synaptic functions. Both short-term plasticity (e.g., paired-pulse facilitation) and long-term plasticity (e.g., spike-timing-dependent plasticity) are demonstrated in a single molecular synapse. The dynamic current response is due to a combination of both chemical gating and coordination effects between Ag+ and hosting groups within peptides which adjusts the electron hopping rate through the molecular junction. In the end, based on the nonlinearity and short-term synaptic characteristics, the molecular synapses are utilized as reservoirs for waveform recognition with 100% accuracy at a small mask length. Designing scaled electronic devices for neuromorphic applications remains a challenge. Here, Zhang et al. develop an artificial molecular synapse based on self-assembled peptide molecule monolayer whose conductance can be dynamically modulated and used for waveform recognition.
Keyword:
SAM-BASED JUNCTIONS
CONDUCTANCE
SCALE
TRANSITION
MONOLAYERS
PEPTIDE
DEVICES
QUALITY
ATOMS
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期刊

Nature Communications 封面图
Nature Communications
IF:
15.7
论文数:
9.4W
被引数:
91.2W

机构

C
chinese academy of sciences
学者数:
56.7W
论文数: 45.0W
被引数: 704
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