Photoelectric regulation and control nerve synapse transistor and preparation method thereof

Abstract

The invention discloses a photoelectric regulation and control nerve synapse transistor and a preparation method. Thephotoelectric regulation and control nerve synapse transistor comprises a substrate, a back gate electrode, a ferroelectric film, a channel layer and a light anti-reflection layer, wherein a source electrode and a drain electrode are arranged at the two ends of the light anti-reflection layer respectively, the channel layer is made of one or more layers of low-dimensional materials, and at least one layer of low-dimensional materials makes contact with the source electrode and the drain electrode. The low-dimensional material is a two-dimensional material or a one-dimensional material; the ferroelectric film has a ferroelectric polarization effect, and the polarization overturning characteristic is regulated and controlled by the back gate electrode. Through redesigning the structure of the photoelectric regulation and control neural synaptic transistor under the synergistic effect of optical excitation and electric regulation and control and optimizing the material, a cranial nerve-like synaptic device which is easy to regulate and control, low in power consumptionand easy to be compatible with a spiking neural network algorithm is realized; based on the advantages of parallel storage and operation and adaptive learning of the device structure, the functions ofinformation storage and image recognition are improved from the device level.

Description

technical field [0001] The invention belongs to the technical field of bionic electronic information, and in particular relates to a photoelectric regulation neural synapse transistor and a preparation method thereof. Background technique [0002] With the continuous advancement of 5G, artificial intelligent internet of things (AIoT) and artificial intelligence technology, hardware systems with high energy efficiency, low power consumption, and integrated storage and computing have become the era of big data. Artificial intelligence and the Internet of Things are large-scale industries. the core needs of modernization. The current von Neumann computing architecture with separate data storage and computing is facing more and more difficulties in the application of scenarios such as intelligent big data analysis. Bottleneck problem in the development of intelligent foundation. [0003] Brain-like computing simulates the working mechanism of the human brain, and has the advan...

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Problems solved by technology

[0004] According to Moore's law, the proportional size reduction technology also faces great challenges in improving chip performance and reducing power consumption at the same time. The most direct way to realize these neurons and synapses is to use digital circuits to do mathematically equivalent circuits (such as IBM's True North), but the cost is too high, the energy efficiency is relatively low, and it is difficult to improve

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