Effect of correlation length between metallic nanoparticles in nonlinear properties of composition of oxide glass and metallic nanoparticles using SPFT

Abstract

There is a kind of composite materials made up of noble metal nanoparticles (such as gold, silver, copper) and a dielectric material (such as silica) with unique properties. In this paper, using Strong Permittivity Fluctuation Theory (SPFT) method, the coefficient of effective permittivity and the effective susceptibility coefficient are calculated for combining glass with metal nanoparticles, assuming that the nanoparticles are spherical. Coefficient of effective permittivity and the effective susceptibility index are estimated for the sample of homogeneous composite materials. And the results of this study are compared with experimental results and other models. It is observed that the data obtained for the zero-order estimate do not match the experimental results. By appropriate correlation length for the second- and third-order, specially for the second-order estimate of SPFT method, conformity between results can be established. Therefore, it can be concluded that SPFT method is betler than other models for calculating and improving the properties of the non-linear model.

Keywords

• nano composite
• effective susceptibility coefficient
• strong permittivity fluctuation