Surrogate modeling of passive microwave circuits using recurrent neural networks and domain confinement
Abstract Electromagnetic (EM) simulation is widespread in microwave engineering. EM tools ensure evaluation reliability but incur significant expenses. These can be mitigated by employing surrogate modeling methods, especially to expedite design workflows like local/global optimization or uncertaint...
Saved in:
| Main Authors: | Kaustab C. Sahu, Slawomir Koziel, Anna Pietrenko-Dabrowska |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-91643-3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Expedited re-design of multi-band passive microwave circuits using orthogonal scaling directions and gradient-based tuning
by: Slawomir Koziel, et al.
Published: (2024-04-01) -
Globalized parameter tuning of microwave passives by dimensionality-reduced surrogates and multi-fidelity simulations
by: Slawomir Koziel, et al.
Published: (2025-07-01) -
Reliability enhancement of EM-based tuning of microwave components using regularized operating band scanning
by: Slawomir Koziel, et al.
Published: (2025-07-01) -
Inversion Study of Hydrogeological Parameters for Metro Foundation Pit Confined Aquifiers Based on Surrogate Modeling
by: YE Ru, et al.
Published: (2025-07-01) -
Optimization of microwave components using machine learning and rapid sensitivity analysis
by: Slawomir Koziel, et al.
Published: (2024-12-01)