Journal
SMARTMAT
Volume 4, Issue 2, Pages -Publisher
WILEY
DOI: 10.1002/smm2.1154
Keywords
flexible optoelectronic neural transistor; high-pass filtering; Morse-code recognition system; sensitive image reconstruction and multitarget monitoring; spatiotemporally correlated coding and logic function
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This study demonstrates a flexible optoelectronic neural transistor (OENT) that utilizes a one-step spin-coated tri-blend film. The OENT is highly sensitive to solar radiation and retains the memory of exposure for long periods of time. Additionally, it provides high-pass filtering and real-time signal processing capabilities for image reconstruction and multitarget monitoring.
A flexible optoelectronic neural transistor (OENT) that consists of a one-step spin-coated tri-blend film composed of 2,7dioctyl[1]benzothieno[3,2-b][1]benzothiophene (C8-BTBT), poly(3-hexylthiophene-2,5-diyl) (P3HT), and poly(methyl methacrylate) (PMMA) is demonstrated. The C8-BTBT and P3HT phases in the film partially segregate into distinct domains, which combine to provide broadband spectrum sensing, and instant electrical-processing capabilities dominated by C8-BTBT. The OENT is sensitive to solar radiation from the near-ultraviolet (NUV) and to visible (Vis) radiation from blue to red. When exposed to NUV radiation, the OENT responds sensitively and retains the memory of the exposure for over 10(3) s. The OENT provides a warning of excessive chronic exposure to harmful NUV. These properties allow high-pass filtering with different cut-off frequencies f(c) that can restrict the reception of blue, green, or red. These switchable f(c) enables sensitive image reconstruction and multitarget monitoring. The device combined with a chitosan gel achieves strictly defined short-range plasticity of <1 s that can achieve diverse instant-computing applications such as spatiotemporally correlated coding and logic functions. Stable real-time signal processing facilitates the realization of a Morse-code recognition system constructed using neuro-morphological hardware, achieving highly accurate character recognition. This study provides a useful resource that can have applications in wearable biomedical electronics and multimodal neuromorphic computing.
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