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An artificial synapse based on molecular junctions

Engineering and Technology

An artificial synapse based on molecular junctions

Y. Zhang, L. Liu, et al.

This groundbreaking research showcases a molecular electronic synapse that utilizes a self-assembled monolayer of peptide molecules. The work demonstrates the ability to modulate conductance dynamically, achieving remarkable accuracy in waveform recognition through innovative reservoir computing techniques. Conducted by Yuchun Zhang, Lin Liu, Bin Tu, Bin Cui, Jiahui Guo, Xing Zhao, Jingyu Wang, and Yong Yan, this study pushes the boundaries of molecular electronics.... show more
Abstract
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.
Publisher
Nature Communications
Published On
Jan 16, 2023
Authors
Yuchun Zhang, Lin Liu, Bin Tu, Bin Cui, Jiahui Guo, Xing Zhao, Jingyu Wang, Yong Yan
Tags
molecular electronics
self-assembled monolayer
conductance
waveform recognition
plasticity
reservoir computing
peptide molecules
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