CST_Simulation _Antenna_Design_Dataset

Published: 22 June 2026| Version 1 | DOI: 10.17632/dk7w4nhz53.1
Contributor:
Adefisayo Adebola Aliu

Description

This dataset contains 1,000 unique antenna configurations generated through parametric electromagnetic (EM) simulations using CST Studio Suite 2025. The dataset is specifically designed to support the training and validation of machine learning (ML) surrogate models for the automated design and optimization of dual-band wearable antennas. It captures the non-linear relationship between physical antenna geometry and electromagnetic performance metrics, enabling rapid, AI-driven antenna synthesis without the need for repetitive, time-intensive full-wave simulations.

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Categories

Telecommunication, Antenna, Wireless Communication, Machine Learning, Computer Simulation, Microstrip Antenna

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