Study On Photoelectric Regulation Of Artificial Synapse Based On Triode

With the rapid development of technology,artificial intelligence,big data,cloud computing,brain-like neural computing etc.has gradually entered the public's field of vision.In the new era,information data is exploding,and the traditional computing and processing information model can no longer meet the increasing data demand.As a new form of calculation,brain-like neural computing can simulate the human brain to process data quickly and quickly.Artificial synaptic devices,as the basic part of brain-like neural computing,have received extensive attention to researchers.The triode artificial synapse device made of organic materials have the advantages of simple preparation process,stable performance,easy access to materials,and high biocompatibility.At present,electrical signals are generally used to control artificial synaptic devices to apply stimulus signals.In this paper,photo-physical quantities are introduced as control methods,thereby greatly broaden the basic functions and application fields of artificial synaptic devices.The main research contents of this paper are as follows1.This paper first introduces the functional history of synaptic plasticity and the development history of artificial synaptic devices.The content of this chapter proposes a photo-controlled triode artificial synapse device with a device structure of Poly(N-vinylcarbazole)(PVK)/Pentacene(P5)First,the basic electrical properties of the device using a continuous negative gate voltage scanning device are initially confirmed.Memristive transferred curve of memory function.On this basis,the optical signal is used to simulate the optical response characteristics of the device.Under the application of the optical signal and the negative grid voltage stimulation,the device has a current increase and decrease trend,and the simulated excitation and suppression functions of the device are adjusted.Subsequently,a device PVK functional layer comparison tested was set up,and the optical signal was used to adjust the PVK/PS doped functional layer device.The results proved that the PVK/P5 structured device had more superior and stable light control performance2.In this chapter,we prepared a photo-controlled transistor device with PVK/P13(Ditridecylperylene-3,4,9,10-tetracarboxylic diimide)structured.We used a continuous electrical signal to scan the transfer curve of the counterclockwise rotation.Then we use the different wavelengths of light stimulus signal is applied to the device,is applied to the optical response characteristic of the device to obtain a stable white light,then light is applied do thinning processing applied to the different wavelengths of monochromatic light stimuli,and finally obtained 420 nm The monochromatic light control device has a stable light response and has initially realized the function of light-induced learning.This provides a new idea of/about the device to be used in artificially building visual neural networks3.The content of this chapter changed the structure of the vapor-deposited organic layer,and designed and prepared a device-structured P5/P13/SubPc(boron chloride Asia-Pacific cyanine)hybrid vapor-deposited organic semiconductor layered photo-controlled triode device,which was successfully stimulated by the application of optical signals Simulate the function of light-induced learning and memory storage.The intensity of the optical signal is changed,and the application time and frequency simulate the plasticity of the optical pulse amplitude,width and interval.Through the above experiments,it can be determined that the device has the performance of light-regulating artificial synapses,which provides more newer enlightenment for the development of artificial intelligence.