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This paper explores the application of pattern recognition techniques in the characterization of a multiphase realistic disordered composite. Some descriptors based on Voronoi cells are extracted for different fiber distributions. Principal Components Analysis is used to find the best features to estimate effective thermal conductivity with a Multiple Linear Regression model instead of the Finite Element Method.

Pattern Recognition Approach to Quantitative Description of the Microstructure of Disordered Composites for Estimation of Thermal Conductivity