NN‐based method for regulating electrical impulse firing behavior of semiconductor low‐dimensional nanomaterials

Abstract

AbstractIn the process of regulating the electrical pulse emission behavior of polyoxide‐semiconductor low‐vinamethylene material neural network (NN) by adsorption of oxidation/reduction molecules, the electrical pulse behavior in the NN is uncontrollable. In order to develop a new method to solve this problem, we analyze a regulatory method to study the emission behavior of electrical pulses by regulating the charge transfer of oxidation/reduction molecules between polymetalate semiconductors and low‐vinamethylene materials. In this paper, BP neural network is used to process and model the electrical pulse discharge behavior of semiconductor low‐vinamil materials. By establishing the neural network model, the precise control of the electrical pulse emission behavior is realized, and experiments are carried out. The experimental results in this paper show that after using the BP NN to calculate the regulation of the electrical pulse discharge behavior of low‐dimensional nanomaterials, it can be seen that the charge threshold am is 6 when no redox molecules are added. When NH3 is adsorbed, the charge threshold am is 13 according to the change ratio of the corresponding charge barrier height. Through the simulation results of pulse emission recorded by the NN, it can be seen that the amplitude and frequency of electric pulse in a molecular NN are reduced. This research provides new methodological and theoretical support for the development of novel neural networks and intelligent electronic devices based on semiconductor low‐dimensional nanomaterials.