Description
The dataset was generated using a technique for cost-effective and reliable behavioral modeling of microwave passives. Central to our method is a fast global sensitivity analysis (FGSA) procedure, which is devised to identify correlations between design parameters and quantify their impacts on circuit characteristics. The most significant directions identified through FGSA are utilized to establish a reduced-dimensionality domain. Within this domain, the model may be constructed using a limited amount of data samples while capturing a significant portion of the circuit response variability, rendering it suitable for design purposes. The outstanding predictive capability of the proposed model, its superiority over traditional techniques, and its readiness for design applications are demonstrated through the analysis of three microstrip circuits of diverse characteristics.
Dataset file
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:
-
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CC BYAttribution
Details
- Year of publication:
- 2025
- Verification date:
- 2025-03-17
- Dataset language:
- English
- DOI:
- DOI ID 10.34808/shd0-4842 open in new tab
- Funding:
- Verified by:
- Gdańsk University of Technology
Keywords
- Microwave engineering
- Passive circuits
- Global sensitivity analysis
- Behavioral modeling
- Simulation-driven design
- Dimensionality reduction
References
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