Inverse design of reflective metasurface antennas using deep learning from small‐scale statistically random pico‐cells

A small‐scale data‐selection method is proposed for deep‐learning‐based inverse design of reflective metasurface antennas (MAs). The overall design process involves discretization, coding, data selection, simulation, feature representation, training, prediction, and metasurface design. Unlike conven...

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Vydané v:	Microwave and optical technology letters Ročník 66; číslo 2
Hlavní autori:	You, Xi Chong, Lin, Feng Han
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Wiley Subscription Services, Inc 01.02.2024
Predmet:	Antennas Boresights Coding deep convolutional variational autoencoder (DCVAE) Deep learning Discretization Inverse design Machine learning metasurface antennas (MAs) Metasurfaces Pencil beams Simulation statistically‐random data filtering (SRDF) Unit cell
ISSN:	0895-2477, 1098-2760
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