Synaptic thin film transistor, preparation method thereof and operation array

Abstract

The invention discloses a synaptic thin film transistor, a preparation method thereof and an operation array. The synaptic thin film transistor comprises a substrate, a capture layer arranged on one side of the substrate, a tunneling layer arranged on one side, far away from the substrate, of the capture layer, a grid electrode arranged on one side, far away from the capture layer, of the substrate, a source electrode and a drain electrode, wherein the source electrode and the drain electrode are arranged on one side, far away from the capture layer, of the tunneling layer, the source electrode and the drain electrode are electrically connected through the tunneling layer, the capture layer is used for providing carriers for the tunneling layer when a preset voltage is applied to the grid electrode. According to the synaptic thin film transistor, the preparation method thereof and the operation array provided by the technical schemes provided by the invention, the electrical conductivity of the synaptic thin film transistor can be accurately adjusted by controlling the voltage applied to the grid electrode of the synaptic thin film transistor, so that a multi-stage storage unit can be realized, and the storage capacity of the operation array is greatly improved.

Description

Technical field [0001] The present invention relates to the field of microelectronics, and more particularly to a synaptic thin film transistor and a preparation method thereof, an array of arranging arranging. Background technique [0002] The existing computer is working in accordance with Von Norman principle, hardware-based information written and reading, and its structural mode and operation mechanism still does not jump out of the traditional logical computing rules, so learning cognition, memory association, The information processing capacity of reasoning judgment, comprehensive decision-making is far from achieving the intelligence level of the human brain, based on this fact, people put forward an efficient neurological computing system, relying on adjustment of conductivity to achieve synaptic weight changes, This neurological calculation system is achieved by a synaptic thin film transistor. In the prior art, the synaptic thin film transistor can only be opened and t...

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Problems solved by technology

[0002] Existing computers work according to von Neumann's principles, based on hardware-based information writing and reading, and their structural models and operating mechanisms still do not jump out of the traditional logic operation rules. Therefore, in learning cognition, memory association, The information processing ability of reasoning judgment and comprehensive decision-making is still far from the intelligence level of the human brain. Based on this fact, people have proposed an efficient neuromorphic computing system, which relies on the adjustment of electrical conductivity to realize the change of synaptic weight. Implementing this neuromorphic computing system using synaptic thin-film transistors

In the prior art, the synaptic thin film transistor can only realize two states of on and off, resulting in a small storage capacity when it is used as a storage device, which greatly limits the application of the synaptic thin film transistor in memory chips

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