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Abstract:
Taking inspiration from the human eye's information processing capabilities, the artificial optoelectronic neuronic device (AOEND) offers a promising approach to creating a bionic eye that performs real-time, low-power processing by integrating optical sensors, signal processing, and electronic neurons into a single device. Despite significant advancements, the current AOEND still faces challenges in terms of power consumption, flexibility, bio-compatibility, and, most importantly, achieving photo-sensitivity across the same broadband perceivable wavelength range (380nm to 740nm) as the human eye. In this study, we present a commercially ready, dual-gated thin-film-transistor (TFT)-based AOEND. Our device exhibits exceptional photo-response to specific wavelengths by utilizing an organic TIPS-pentacene material as the channel layer and intentionally tailoring its optical bandgap to approximately 1.6eV. Additionally, the device successfully replicates various photon-triggered synaptic characteristics and performs visual sensing, memory processing, and other functions with low power consumption. Our findings present a viable strategy for the development of future integrated sensing-memory-processing flexible devices for optoelectronic artificial retina perception applications. © 2023 Elsevier Ltd
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Applied Materials Today
ISSN: 2352-9407
Year: 2023
Volume: 33
7 . 2
JCR@2023
7 . 2 0 0
JCR@2023
ESI HC Threshold:49
JCR Journal Grade:1
CAS Journal Grade:2
Cited Count:
SCOPUS Cited Count: 13
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
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30 Days PV: 0
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