Numerical and experimental generated data during project https://doi.org/10.1038/s41598-024-77367-w - Open Research Data - Bridge of Knowledge

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Numerical and experimental generated data during project https://doi.org/10.1038/s41598-024-77367-w

Description

The dataset was generated using a two-stage methodology for global design optimization of antenna systems. Its keystone components included dimensionality reduction realized by means of fast global sensitivity analysis (FGSA), a machine learning (ML) procedure involving kriging surrogate models, and fine-tuning of antenna parameters using accelerated trust-region (TR) search.

Extensive verification experiments involved four antennas of diverse responses (multi-band, broadband, enhanced gain). The results demonstrated consistent operation, reliability, repeatability of solutions, and excellent cost efficiency of the presented framework. The average running cost of the algorithm corresponded to only about 140 EM antenna simulations, which is comparable to the expenses incurred by local optimization.

Dataset file

metadata_p4_complete.pdf
516.2 kB, S3 ETag e43ead57ff50b1e85db675f0da2f37e0-1, downloads: 0
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5

File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution

Details

Year of publication:
2025
Verification date:
2025-03-17
Dataset language:
English
Fields of science:
  • automation, electronics, electrical engineering and space technologies (Engineering and Technology)
DOI:
DOI ID 10.34808/pvb5-g805 open in new tab
Funding:
Verified by:
Gdańsk University of Technology

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