Optimization of microwave components using machine learning and rapid sensitivity analysis
Abstract Recent years have witnessed a tremendous popularity growth of optimization methods in high-frequency electronics, including microwave design. With the increasing complexity of passive microwave components, meticulous tuning of their geometry parameters has become imperative to fulfill deman...
Saved in:
| Main Authors: | Slawomir Koziel, Anna Pietrenko-Dabrowska |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-82701-3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
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) -
Unsupervised design and geometry optimization of high-sensitivity ring-resonator-based sensors
by: Tanveerul Haq, et al.
Published: (2025-05-01) -
Surrogate modeling of passive microwave circuits using recurrent neural networks and domain confinement
by: Kaustab C. Sahu, et al.
Published: (2025-04-01) -
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)