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Published on: April 15, 2015
Structure-Function Coupling in Pyridyl Triazole Copolymers for Neuromorphic Synaptic Transistors
Arash Ghobadi1, Salahuddin Attar2, Abhijeet Abhi1
1Department of Physics and Astronomy, University of Missouri, Columbia, Missouri 65211, United States.
Organic ferroelectric transistors offer low-cost synaptic devices. Tailored copolymers with specific linkers demonstrate potential for neuromorphic applications, with performance critically dependent on the semiconductor-dielectric interface.
Area of Science:
- Organic electronics
- Materials science
- Neuroscience
Background:
- Organic ferroelectric transistors are promising for low-cost synaptic devices.
- Donor-acceptor semiconducting polymers and poly-(vinylidene fluoride) (PVDF) copolymers are key for mimicking synaptic responses.
Purpose of the Study:
- Synthesize and evaluate novel pyridyl triazole (PyTr) based copolymers for synaptic transistor applications.
- Investigate the impact of linker units and semiconductor-dielectric interfaces on device performance and neuromorphic functionality.
Main Methods:
- Three PyTr copolymers with varied linkers (selenium-substituted thiophene, benzothiadiazole, fluorine-substituted thiophene) were synthesized.
- Transistor architectures using PVDF-HFP dielectric were fabricated to study p-type transport and carrier mobility.
- Synaptic plasticity was assessed via pulsed gate voltages, and neuromorphic functionality was tested in a multilayer perceptron for image recognition.
Main Results:
- Carrier mobilities ranged from 0.1 to 0.2 cm2 V-1 s-1.
- The benzothiadiazole linker copolymer achieved ~80% image recognition accuracy.
- The fluorine-substituted thiophene linker copolymer exhibited no synaptic behavior, emphasizing interface importance.
Conclusions:
- The choice of linker unit significantly impacts synaptic transistor performance.
- The semiconductor-dielectric interface properties are critical for successful neuromorphic device operation.
- Further investigation into interface trap density and morphology is needed to optimize device design.
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