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Stochastic Resonance in Organic Electronic Devices

Molecular Science Division, Gunma University, Kiryu 376-8515, Gunma, Japan
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Academic Editor: Arunas Ramanavicius
Polymers 2022, 14(4), 747; https://doi.org/10.3390/polym14040747
Received: 14 January 2022 / Revised: 7 February 2022 / Accepted: 9 February 2022 / Published: 15 February 2022
(This article belongs to the Special Issue Organic Neuromorphic Devices)
Stochastic Resonance (SR) is a phenomenon in which noise improves the performance of a system. With the addition of noise, a weak input signal to a nonlinear system, which may exceed its threshold, is transformed into an output signal. In the other words, noise-driven signal transfer is achieved. SR has been observed in nonlinear response systems, such as biological and artificial systems, and this review will focus mainly on examples of previous studies of mathematical models and experimental realization of SR using poly(hexylthiophene)-based organic field-effect transistors (OFETs). This phenomenon may contribute to signal processing with low energy consumption. However, the generation of SR requires a noise source. Therefore, the focus is on OFETs using materials such as organic materials with unstable electrical properties and critical elements due to unidirectional signal transmission, such as neural synapses. It has been reported that SR can be observed in OFETs by application of external noise. However, SR does not occur under conditions where the input signal exceeds the OFET threshold without external noise. Here, we present an example of a study that analyzes the behavior of SR in OFET systems and explain how SR can be made observable. At the same time, the role of internal noise in OFETs will be explained. View Full-Text
Keywords: polymer semiconductor; organic electronic device; polyalkylthiophene; stochastic resonance; noise-driven phenomenon; internal noise; biomimicry; bioinspiration; stochastic computing polymer semiconductor; organic electronic device; polyalkylthiophene; stochastic resonance; noise-driven phenomenon; internal noise; biomimicry; bioinspiration; stochastic computing
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MDPI and ACS Style

Suzuki, Y.; Asakawa, N. Stochastic Resonance in Organic Electronic Devices. Polymers 2022, 14, 747. https://doi.org/10.3390/polym14040747

AMA Style

Suzuki Y, Asakawa N. Stochastic Resonance in Organic Electronic Devices. Polymers. 2022; 14(4):747. https://doi.org/10.3390/polym14040747

Chicago/Turabian Style

Suzuki, Yoshiharu, and Naoki Asakawa. 2022. "Stochastic Resonance in Organic Electronic Devices" Polymers 14, no. 4: 747. https://doi.org/10.3390/polym14040747

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