Quantification of crystalline texture in ferroelectric materials by polarized Raman spectroscopy using Reverse Monte Carlo modelling

A Reverse Monte Carlo (RMC) model for the quantification of the crystalline texture in ferroelectric/ferroelastic ceramics based on polarized Raman spectroscopy (PRS) measurements has been developed and compared with analytical fitting approaches. We demonstrate, also by validation with PRS experiments on ferroelectric samples with different texture degrees, that the RMC model is more effective in reproducing physical features, including the saturated domain state. The versatility of the RMC model opens new possibilities for texture studies by PRS, and can be in principle applied to any kind of Raman-active material.