This article describes the results of optimization of the colloidal photonic crystal opal films deposition by means of atomic force microscopy investigation. The main factors affecting the quality of the colloidal opal films are studied. Bragg diffraction occurs in the periodic distribution of colloidal microspherical particles, and ordered structure is critical for formation of the photonic band gap. It is found that polystyrene opal structures obtained in optimal conditions have a good periodicity, uniformity, and high packing density.
In this paper we consider the application of artificial neural networks in the Master’s degree programs. Nowadays neural network models have become a powerful tool of scientific research for engineers and students. Besides successful research depends on confided usage of common methods and algorithms of statistical community special attention in degree programs is given to data analysis and modeling methods. Students study modern neural networks software products, methods of data preparing, designing and training neural network and then apply neural networks algorithms in practice. The neural networks modeling plays a significant role in students education. During it students learn to create, tune and train their own neural networks and get full and detailed understanding of research in computer vision. Neural Networks models are successfully presented in graduation works. In this paper a few examples of how neural networks are used in thin films deposition processes modeling are presented.
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