An artificial synapse based on molecular junctions

Yuchun Zhang, Lin Liu, Bin Tu, Bin Cui, Jiahui Guo, Xing Zhao, Jingyu Wang and Yong Yan ()
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Yuchun Zhang: National Center for Nanoscience and Technology
Lin Liu: National Center for Nanoscience and Technology
Bin Tu: National Center for Nanoscience and Technology
Bin Cui: School of Physics, Shandong University
Jiahui Guo: National Center for Nanoscience and Technology
Xing Zhao: National Center for Nanoscience and Technology
Jingyu Wang: National Center for Nanoscience and Technology
Yong Yan: National Center for Nanoscience and Technology

Nature Communications, 2023, vol. 14, issue 1, 1-11

Abstract: 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.

Date: 2023
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DOI: 10.1038/s41467-023-35817-5

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