Design optimization of a C/X-band metasurface–DGS microstrip antenna using machine learning

Microstrip patch antennas (MPAs) typically suffer from limited bandwidth and low gain in C- and X-band applications. This study presents a machine learning (ML)-assisted antenna design that integrates an elliptical metasurface with a defected ground structure (DGS) to enhance performance. The antenn...

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Detalles Bibliográficos

Autores principales:	Md. Bipul Islam, A.N.M. Shihab Uddin, Samiul Bashir, Pronab Kumar Paul, Md. Firoz Ahmed, M. Hasnat Kabir
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2026-05-01
Colección:	Physics Open
Materias:	Microstrip patch antenna Metasurface Bandwidth Gain Machine learning Optimization
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2666032626000529
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