Quantitative Prediction of Polymer Dielectric Constants Using an Improved Mathematic Correlation Based on Molecular Polarity Components

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Abstract

The advancement of communication technology has significantly promoted the development of dielectric polymers. However, the quantitative prediction of dielectric constant for rapid material screening is hard due to the low precision of existing theories. In this paper, a new model was developed to calculate the dielectric constants of organic materials through theoretical deduction correlating to the dielectric and polar Hansen solubility parameter (HSP) functions ((Formula presented.)). This model treated the permanent dipole moments as the primary function determining the dielectric constant and the corresponding polar HSP, which was demonstrated to be in good agreement with experimental data and produced reasonable fitting for organic solvents, thermoplastic polymers, and thermoset polymers, yielding R2 of 0.7488, 0.8104, and 0.7450, respectively, and it demonstrated better fitting with R2 of 0.9043 when applied to organic solvents having low hydrogen bonding component ((Formula presented.), < 12.5). This new correlation produces the highest accuracy of prediction when compared to the existing models and provides a better mathematical tool to help design and screen dielectric polymers.

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Zhou, G., Ning, N., & Wei, Y. (2025). Quantitative Prediction of Polymer Dielectric Constants Using an Improved Mathematic Correlation Based on Molecular Polarity Components. Journal of Polymer Science, 63(3), 610–622. https://doi.org/10.1002/pol.20240857

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