Understanding the microwave dissipation mechanisms in materials is essential for the design of high-performance absorbers. Previous studies in this field have largely relied on a single-order Debye model combined with nonlinear least squares (NLLS) fitting, under the assumption of frequency-independent conductivity. However, this approach presents several limitations, including limited applicability to composite materials, inaccuracies in conductivity estimation, high sensitivity to initial guesses, and challenges in determining relaxation times. To address these issues, a multi-order Debye model that integrates Jonscher's power-law dielectric response, thereby establishing a frequency-dependent relationship for conductivity, is developed as the analytical framework. Subsequently, a distribution of relaxation times (DRT) method with Tikhonov regularization is developed to extract polarization relaxation times, with its parameter optimized based on the materials' physicochemical properties. Furthermore, a genetic algorithm (GA)-assisted NLLS fitting procedure is implemented for complex permittivity modeling, which facilitates escape from local minima and improves the likelihood of finding global optima. Dielectric analysis of the synthesized VN@N-rGO core-shell nanobelts indicates a significant synergy between the components, enhancing both conductive and polarization losses. The hybridization increases the equivalent dipole relaxation times of N-rGO, thereby aligning them more closely with the period of 2–18 GHz microwaves and thus improving polarization loss. By optimizing the VN/N–rGO ratio and layer structure, an effective absorption bandwidth of 7.7 GHz is achieved at 2.1 mm.
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