Ultralow Power Wearable Organic Ferroelectric Device for Optoelectronic Neuromorphic Computing

Abstract

In order to imitate brain-inspired biological information processing systems, various neuromorphic computing devices have been proposed, most of which were prepared on rigid substrates and have energy consumption levels several orders of magnitude higher than those of biological synapses (∼10 fJ per spike). Herein, a new type of wearable organic ferroelectric artificial synapse is proposed, which has two modulation modes (optical and electrical modulation). Because of the high photosensitivity of organic semiconductors and the ultrafast polarization switching of ferroelectric materials, the synaptic device has an ultrafast operation speed of 30 ns and an ultralow power consumption of 0.0675 aJ per synaptic event. Under combined photoelectric modulation, the artificial synapse realizes associative learning. The proposed artificial synapse with ultralow power consumption demonstrates good synaptic plasticity under different bending strains. This provides new avenues for the construction of ultralow power artificial intelligence system and the development of future wearable devices.

Ferroelectrically Modulated and Enhanced Photoresponse in a Self-Powered α-In2Se3/Si Heterojunction Photodetector

“…To improve the performance of 2D photodetectors, various modulated methods have emerged, such as the construction of hybrid dimensional heterojunctions, strain engineering, gate voltage, and other local field enhancement methods . In recent years, the method of ferroelectric local field modulation has been applied in a variety of scientific fields, including superconductivity, excitons, photocatalysis, energy storage, and specially electronic devices. − Ferroelectric modulation provides benefits over other techniques for multipurpose photoelectric devices, namely low power consumption and selective modulation of the background carrier concentration via ferroelectric local field effects. − However, familiar ferroelectric materials (for example, PZT and PVDF) are either insulators or wide bandgap semiconductors with weak conductivity. 2D hybrid perovskites ferroelectric materials have superior photoelectric capabilities but are unstable and poisonous to heavy metals, which further limits their practical applications .…”

Advanced Optoelectronic Devices for Neuromorphic Analog Based on Low‐Dimensional Semiconductors

“…Li et al. [ 106 ] reported a novel wearable organic ferroelectric neuromorphic transistor (Figure 9d) with both optical and electrical modulations. The learning behavior of the device in practical problems can be simulated using a sequence of light pulses (Figure 9e).…”

“…This photoconductive enhancement decays rapidly after the input light is removed. Li et al [106] reported a novel wearable organic ferroelectric neuromorphic and c) LTP behaviors by intensity varied light illumination. Reproduced with permission.…”

“…f) PSC under the flat state and different bending radii as a function of a light pulse sequence. Reproduced with permission [106]. Copyright 2022, American Chemical Society.…”

Artificial Vision Adaptation Based on Optoelectronic Neuromorphic Transistors

“…At present, various optoelectronic neuromorphic devices have been studied to develop artificial visual perception systems, and realize optoelectronic neuromorphic functions [11], [12], [13], [14], [15], [16]. Optoelectronic neuromorphic computing has received increasing attention in the fields of machine learning, image processing, and visual perception [17], [18].…”