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O-Ti-Sb-Te-based synaptic bionic device for artificial neural network

An artificial neural network, o-ti-sb-te technology, applied in electrical components and other directions, can solve the problems of poor linear change, low bit resolution, and excessive difference between high and low resistance, and achieve the effect of excellent electrical properties

Inactive Publication Date: 2018-05-18
HANGZHOU DIANZI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the factors that limit the performance of artificial neural networks using non-volatile memory are the poor linear change of the resistance of the synaptic device to the number of pulses, the low bit resolution, and the large or small difference between high and low resistance.

Method used

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  • O-Ti-Sb-Te-based synaptic bionic device for artificial neural network
  • O-Ti-Sb-Te-based synaptic bionic device for artificial neural network
  • O-Ti-Sb-Te-based synaptic bionic device for artificial neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] Example 1: An electrode in a medium with a diameter of 190 nanometers was prepared using a standard 0.13 micron CMOS process. The storage medium layer is deposited by physical vapor deposition with a thickness of 120 nanometers, and the O layer above the electrode is prepared through glue coating, photolithography, etching and other processes. 6 (Ti 0.4 Sb 2 Te 3 ) 94 material pattern such that O above each bottom electrode 6 (Ti 0.4 Sb 2 Te 3 ) 94 The materials are electrically insulated from each other. The top electrode titanium nitride TiN was deposited by physical vapor deposition with a thickness of 20 nanometers, and the O 6 (Ti 0.4 Sb 2 Te 3 ) 94 above the TiN electrode material pattern so that each O 6 (Ti 0.4 Sb 2 Te 3 ) 94 The upper top electrode materials are electrically insulated from each other. get based on O 6 (Ti 0.4 Sb 2 Te 3 ) 94 The T-shaped synaptic bionic unit of the material; and the performance parameters of the product a...

Embodiment 2

[0053] Example 2: An electrode in a medium with a diameter of 190 nanometers was prepared using a standard 0.13 micron CMOS process. The storage medium layer is deposited by chemical vapor deposition with a thickness of 200 nanometers, and the O layer above the electrode is prepared through glue coating, photolithography, etching and other processes. 10 (TiSb 40 Te 10 ) 90 material pattern such that O above each bottom electrode 10 (TiSb 40 Te 10 ) 90 The materials are electrically insulated from each other. The top electrode titanium nitride TiN was deposited by physical vapor deposition with a thickness of 200 nm, and O 10 (TiSb 40 Te 10 ) 90 above the TiN electrode material pattern so that each O 10 (TiSb 40 Te 10 ) 90 The upper top electrode materials are electrically insulated from each other. get based on O 10 (TiSb 40 Te 10 ) 90 The T-shaped synaptic bionic unit of the material; and the performance parameters of this product are that the difference be...

Embodiment 3

[0054] Example 3: An electrode in a medium is prepared by using a standard CMOS process, with a diameter of 10 nanometers. The storage medium layer is deposited by chemical vapor deposition with a thickness of 50 nanometers, and the O layer above the electrode is prepared through glue coating, photolithography, etching and other processes. 3 (TiSb 10 Te 10 ) 97 material pattern such that O above each bottom electrode 3 (TiSb 10 Te 10 ) 97 The materials are electrically insulated from each other. The top electrode titanium nitride TiN was deposited by physical vapor deposition with a thickness of 20 nanometers, and the O 3 (TiSb 10 Te 10 ) 97 above the TiN electrode material pattern so that each O 3 (TiSb 10 Te 10 ) 97 The upper top electrode materials are electrically insulated from each other. get based on O 3 (TiSb 10 Te 10 ) 97 The T-shaped synaptic bionic unit of the material; and the performance parameters of this product are that the difference between...

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Abstract

The invention discloses an O-Ti-Sb-Te-based synaptic bionic device for an artificial neural network. O-Ti-Sb-Te materials are taken as a storage medium in the synaptic bionic device, so that conversion between multistate resistance values can be achieved under the action of an electric signal. According to the synaptic bionic device based on a series of O-Ti-Sb-Te phase-change materials, the resolution close to 8 bits can be provided through intermediate resistance values under the operation of the electric signal, the switch resistance difference reaches 100 times, the linear response of theresistance to the number of pulses is achieved under the same pulse operation and the O-Ti-Sb-Te-based synaptic bionic device has excellent electric property as the synaptic bionic device.

Description

technical field [0001] The invention relates to the field of semiconductor manufacturing materials and semiconductor devices, in particular to a storage medium material and a device for manufacturing synaptic bionic devices in artificial neural networks. Background technique [0002] Artificial Neural Network (ANN) is a research hotspot in the field of artificial intelligence since the 1980s. It abstracts the human brain neuron network from the perspective of information processing, establishes a simple model, and forms different networks according to different connection methods. In engineering and academia, it is often referred to directly as a neural network or a neural network. A neural network is an operational model consisting of a large number of nodes (or neurons) connected to each other. Each node represents a specific output function called an activation function. Each connection between two nodes represents a weighted value for the signal passing through the co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H01L45/00
CPCH10N70/20H10N70/881
Inventor 任堃周猷赵哲昊季振国
Owner HANGZHOU DIANZI UNIV
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