Self-powered high-sensitivity all-in-one vertical tribo-transistor device for multi-sensing-memory-computing

Abstract

Devices with sensing-memory-computing capability for the detection, recognition and memorization of real time sensory information could simplify data conversion, transmission, storage, and operations between different blocks in conventional chips, which are invaluable and sought-after to offer critical benefits of accomplishing diverse functions, simple design, and efficient computing simultaneously in the internet of things (IOT) era. Here, we develop a self-powered vertical tribo-transistor (VTT) based on MXenes for multi-sensing-memory-computing function and multi-task emotion recognition, which integrates triboelectric nanogenerator (TENG) and transistor in a single device with the simple configuration of vertical organic field effect transistor (VOFET). The tribo-potential is found to be able to tune ionic migration in insulating layer and Schottky barrier height at the MXene/semiconductor interface, and thus modulate the conductive channel between MXene and drain electrode. Meanwhile, the sensing sensitivity can be significantly improved by 711 times over the single TENG device, and the VTT exhibits excellent multi-sensing-memory-computing function. Importantly, based on this function, the multi-sensing integration and multi-model emotion recognition are constructed, which improves the emotion recognition accuracy up to 94.05% with reliability. This simple structure and self-powered VTT device exhibits high sensitivity, high efficiency and high accuracy, which provides application prospects in future human-mechanical interaction, IOT and high-level intelligence.

A sensory memory processing system with multi-wavelength synaptic-polychromatic light emission for multi-modal information recognition

“…Inspired by the working mode of the human brain, the idea of enabling neural computing at the synaptic level has attracted great interest 2 – 12 . Currently, neuromorphic synapse devices and neuromorphic systems have been widely used in bioelectronics and artificial intelligence computing 13 – 17 . Future neuromorphic engineering holds promise for intelligent and humanized systems that interact directly with humans.…”

Stretchable Transistor‐Structured Artificial Synapses for Neuromorphic Electronics

“…[90][91][92][93][94] Currently, vertical structure transistors have been introduced to the neurological system, which exhibits high recognition accuracy along with low voltage operation and low energy consumption. [95,96] The stretchable synaptic transistor based on the vertical structure has been achieved, which successfully emulates biological synapse functions and exhibits deformation-tunable characteristics. [97] More detailed information is presented in Table 1.…”

Emulating Ebbinghaus forgetting behavior in a neuromorphic device based on 1D supramolecular nanofibres

“…6(a)). There are such reports on the emulation of advanced cognitive behaviors [53][54][55] and artificial visual perception 56,57 using optoelectronic devices. In the present device, five 'T' shaped pixels were exposed to UV light under similar con- ditions, while the remaining four were masked.…”