youxch/Inverse-design-of-patch-antennas
This repository hosts a simple demonstration of a deep learning approach for the inverse design of patch antennas. The goal is to explore energy-efficient designs and to significantly reduce simulation cost compared to conventional methods.
This project helps antenna design engineers and researchers quickly generate new, energy-efficient patch antenna designs. You input desired antenna performance characteristics, and it outputs the physical dimensions needed to achieve those properties. This reduces the need for expensive and time-consuming traditional simulations, making antenna development faster and more cost-effective for those working with microwave and millimeter-wave technologies.
139 stars. No commits in the last 6 months.
Use this if you need to rapidly explore and inversely design patch antennas with specific performance goals while minimizing simulation time and costs.
Not ideal if you require design validation using full-wave electromagnetic simulations, as this tool focuses on rapid design generation via deep learning.
Stars
139
Forks
20
Language
Python
License
MIT
Category
Last pushed
Oct 10, 2024
Commits (30d)
0
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