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.

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.

Details

Title
An artificial synapse based on molecular junctions
Author
Zhang, Yuchun 1   VIAFID ORCID Logo  ; Liu, Lin 2 ; Tu, Bin 1 ; Cui, Bin 3   VIAFID ORCID Logo  ; Guo, Jiahui 2 ; Zhao, Xing 1   VIAFID ORCID Logo  ; Wang, Jingyu 2 ; Yan, Yong 4   VIAFID ORCID Logo 

 National Center for Nanoscience and Technology, CAS Key Laboratory of Nanosystem and Hierarchical Fabrication, CAS Center for Excellence in Nanoscience, Beijing, China (GRID:grid.419265.d) (ISNI:0000 0004 1806 6075) 
 National Center for Nanoscience and Technology, CAS Key Laboratory of Nanosystem and Hierarchical Fabrication, CAS Center for Excellence in Nanoscience, Beijing, China (GRID:grid.419265.d) (ISNI:0000 0004 1806 6075); University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419) 
 School of Physics, Shandong University, Jinan, China (GRID:grid.27255.37) (ISNI:0000 0004 1761 1174) 
 National Center for Nanoscience and Technology, CAS Key Laboratory of Nanosystem and Hierarchical Fabrication, CAS Center for Excellence in Nanoscience, Beijing, China (GRID:grid.419265.d) (ISNI:0000 0004 1806 6075); University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419); University of Science and Technology Beijing, Department of Chemistry, School of Chemistry and Biological Engineering, Beijing, China (GRID:grid.69775.3a) (ISNI:0000 0004 0369 0705) 
Pages
247
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2765887119
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.