Computational Optimizing the Electromagnetic Wave Reflectivity of Double-Layered Polymer Nanocomposites

Area of Science:

• Materials Science
• Electromagnetics
• Nanotechnology

Background:

• Double-layered composites are crucial for electromagnetic interference (EMI) shielding to prevent secondary pollution.
• Optimizing EMI shielding performance through traditional trial-and-error is inefficient.
• Advanced materials are needed to meet stringent EMI shielding requirements.

Purpose of the Study:

• To develop a computation-aided experimental design approach for optimizing double-layered EMI shielding composites.
• To efficiently reduce the electromagnetic wave reflectivity of these composites.
• To design and fabricate high-performance polyvinylidene difluoride/MXene/carbon nanotube (PVDF/MXene/CNT) composites.

Main Methods:

• A normalized input impedance (NII) method was developed to calculate the reflectivity of multilayered EMI shielding composites.
• The NII method was used for computational design and optimization of PVDF/MXene/CNT composites.
• Experimental validation confirmed the accuracy of the NII method's predictions.

Main Results:

• The NII method accurately predicted the electromagnetic wave reflectivity of the composites.
• The optimized PVDF/MXene/CNT composite achieved an ultralow reflectivity of 0.000057.
• The composite demonstrated an average EMI shielding effectiveness of 30 dB, indicating simultaneous shielding and absorption.

Conclusions:

• The NII method provides an efficient pathway for designing absorption-dominated EMI shielding composites.
• The developed PVDF/MXene/CNT composite exhibits superior performance, meeting requirements for electromagnetic wave absorbing materials.
• The study challenges traditional understanding by showing dual-layer attenuation mechanisms in EMI shielding composites.