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Study On The Resistance Switching Properties Of VO2 And Its Application Of Simulated Neurons

Posted on:2022-01-12Degree:MasterType:Thesis
Country:ChinaCandidate:Y XuFull Text:PDF
GTID:2518306524478684Subject:Optical Engineering
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In the era of big data explosion,the demand of data information processing is increasing rapidly.Neuromorphic computational structures with powerful processing power and high energy efficiency attracted worldwide research interests.Neuromorphic devices are one of the hot topics in the field of neuromorphic computing.According to different functions,neuromorphic devices can be roughly divided into synaptic devices and artificial neuron.Relatively speaking,synaptic devices have been extensively studied,while artificial neurons have larged behind.Artificial neurons based on phase change materials have been considered as one kind of the most promising artificial neurons due to their unique phase change characteristics,scalability and integration.Among Mott phase change materials,VO2 is a good candidate material for the preparation of artificial neurons due to its phase transformation temperature that is close to room temperature and good phase transformation performance.This thesis focuses on the potential of VO2 in the field of artificial neurons.The mechanism analysis of VO2 oscillation characteristics is presented through exploring several aspects in particular,i.e.the resistance characteristics of VO2 materials,the preparation method of VO2 devices,resistance properties of VO2 thin film devices,and the simulation and verification of the VO2 oscillation circuit.The research of VO2artificial neurons is based on the construction of VO2 simulation model,analysis of VO2oscillation circuit,and the design and validation of VO2 neurons.The main body of this thesis includes the following three sections:1.VO2 devices with good resistance switching properties were fabricated by a three-step process consisting of reactive sputtering,rapid annealing and electroforming.The results show that,as the precursor film of electroforming VO2 devices,the composite phase vanadium oxide films prepared by rapid annealing in the three-step process are densier than the polycrystalline VO2 films prepared by reactive sputtering,and the crystallinity phase in the electroforming films is better than that of polycrystalline VO2 films prepared by reactive sputtering.The test results show that the switching ratio of the VO2 device prepared by the three-step method is significantly higher than that of the device prepared by the polycrystalline VO2 film prepared by reactive sputtering.2.By using LTSPICE software,a circuit simulation model with similar resistance switching properties characteristics to VO2 device was built,and on this basis,a VO2oscillation circuit was constructed.The simulation results show that the oscillation amplitude of the VO2 oscillation circuit is only related to its resistance switching properties,and the circuit components and input signals can only affect the oscillation period of the VO2 device.Then,the influence mechanism of temperature on the oscillation characteristics of VO2 oscillation circuit is further tested and analyzed.Temperature will obviously affect the amplitude and period of the VO2 oscillation circuit.At higher ambient temperatures,the oscillating circuit exhibits the phenomenon of double amplitude oscillation.This may provide a new idea for the application of VO2in new circuits.3.Based on the above VO2 oscillation circuit,a novel VO2 artificial neuron circuit is designed and verified.The simulation and test results show that the VO2 artificial neuron circuit is similar to the biological neuron circuit in many aspects,including the output waveform after stimulation and the trend of waveform change.The pulse period of VO2 artificial neuron is stable near room temperature.But the pulse period will show an obvious downward trend when the ambient temperature reaches 29?.When the temperature reached 40?,the VO2 artificial neuron was destroyed.It suggests that the VO2 artificial neuron circuit is similar to biological neuron in temperature dependence.
Keywords/Search Tags:VO2, resistance switching properties, oscillation characteristics, artificial neuron, temperature
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