Dielectric properties of green synthesized Ag-doped ZnO NPs in epoxy resin polymer nanocomposites

The article presents a detailed investigation into the dielectric properties of green synthesized Ag-doped ZnO nanoparticles incorporated into epoxy resin polymer nanocomposites. The study highlights the synthesis of these nanoparticles using a green-assisted sol–gel auto-combustion approach, ensuring eco-friendly and efficient production. The structural and morphological characteristics of the nanocomposites are thoroughly analyzed using Fourier Transform Infrared Spectroscopy (FTIR) and X-ray Diffraction (XRD), revealing the successful integration of nanoparticles within the epoxy matrix. The dielectric properties, including the real and imaginary parts of complex permittivity and AC conductivity, are systematically investigated, demonstrating the impact of Ag doping on the electrical behavior of the composites. Notably, the 2 wt.% Ag-doped ZnO epoxy composite exhibits superior dispersion and an optimal balance of dielectric properties, making it a promising candidate for advanced electronic and energy storage applications. The study also employs machine learning models, such as Gradient Boosting, Extra Trees, XGBoost, Random Forest, and Neural Networks, to predict the dielectric properties with high accuracy. The ensemble model, combining the strengths of individual models, provides stable and reliable predictions, underscoring the potential of machine learning in materials science. The findings emphasize the importance of nanoparticle dispersion and doping concentration in tailoring the dielectric performance of polymer nanocomposites, offering valuable insights for the development of next-generation materials in electronics and energy storage.