Research on Design Method of Multilayer Metamaterials Based on Stochastic Topology.

Area of Science:

• Materials Science
• Electromagnetics
• Metamaterials Engineering

Background:

• Traditional metamaterial design relies on biomimicry or topology optimization, facing performance limitations.
• Existing methods struggle to fully optimize complex structure-electromagnetic property relationships.

Purpose of the Study:

• To develop a rapid metamaterial design method overcoming traditional limitations.
• To combine big data simulation with structure optimization for enhanced performance.

Main Methods:

• Generation of random topological patterns for metamaterial design.
• Integrated simulation and optimization of structure-electromagnetic properties.
• Experimental verification of designed metamaterial electromagnetic properties.

Main Results:

• Designed absorbing metamaterial unit exhibits reflection coefficient below -15 dB from 12-16 GHz.
• Achieved radar cross-section (RCS) reduction of 14.5 dB to 27.6 dB compared to a metal floor.
• Experimental performance parameters closely matched simulation results, confirming method reliability.

Conclusions:

• The proposed random topology design method offers a reliable and effective approach for metamaterial development.
• This technique addresses shortcomings of conventional design strategies, enabling superior electromagnetic performance.
• Experimental validation confirms the practical applicability and accuracy of the random topology design algorithm.