Ultrasensitive\nFlexible Organic Synaptic Transistors\nModulated by a Chemically Cross-Linked Solvent-Resistive Ion Composite

We demonstrate a flexible organic synaptic transistor\n(FOST) with\nan ion-composite electrolyte film resistant to chemical reagents,\nwhich uses a three-dimensionally cross-linked polyimide matrix to\naccommodate a high-concentration ionic liquid. FOST shows versatile\nsynaptic plasticity for classical conditioning, high-pass filtering,\nand the learning–forgetting process. The device achieves low-energy\nconsumption down to 1.02 femtojoule per synaptic event with an ultrasensitive\nimpulse to presynaptic spike down to 0.5 mV. Moreover, the electrical\nperformance of the device is still stable after 1000 mechanical bending\ncycles. These results demonstrate that the device can be applied to\nfuture flexible neuromorphic electronics.

Publication Details

Journal
Figshare
Published
2024-10-31
DOI
https://doi.org/10.1021/acs.jpclett.4c02522.s001
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Ultrasensitive\nFlexible Organic Synaptic Transistors\nModulated by a Chemically Cross-Linked Solvent-Resistive Ion Composite

Figshare
Advanced Memory and Neural Computing
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Ultrasensitive\nFlexible Organic Synaptic Transistors\nModulated by a Chemically Cross-Linked Solvent-Resistive Ion Composite

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Abstract

We demonstrate a flexible organic synaptic transistor\n(FOST) with\nan ion-composite electrolyte film resistant to chemical reagents,\nwhich uses a three-dimensionally cross-linked polyimide matrix to\naccommodate a high-concentration ionic liquid. FOST shows versatile\nsynaptic plasticity for classical conditioning, high-pass filtering,\nand the learning–forgetting process. The device achieves low-energy\nconsumption down to 1.02 femtojoule per synaptic event with an ultrasensitive\nimpulse to presynaptic spike down to 0.5 mV. Moreover, the electrical\nperformance of the device is still stable after 1000 mechanical bending\ncycles. These results demonstrate that the device can be applied to\nfuture flexible neuromorphic electronics.

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Advanced Memory and Neural Computing
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