{
  "abstract": "This letter introduces a mask-based surrogate modeling framework which generalizes the feature-based paradigm for efficient microwave design exploration using a limited number of full-wave simulations. Unlike feature-based approaches, which extract scalar performance metrics, the proposed method reconstructs the complete S-parameter boundary contour within the operating band. This preserves each design's parametric signature and enables on-demand evaluation of multiple performance specifications without model retraining. The framework employs two Vector-Valued Kernel Ridge Regression models to predict boundary coordinates from geometric parameters. Validation on a three-port circulator demonstrates accurate reconstruction and rapid exploration of thousands of candidate designs.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 6,
  "authors": [
    {
      "name": "Marco Atlante"
    },
    {
      "name": "Riccardo Trinchero"
    },
    {
      "name": "Igor Stievano"
    },
    {
      "name": "Mihai Telescu"
    },
    {
      "name": "Vincent Laur"
    },
    {
      "name": "Noël Tanguy"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/axa3tb9z63e1y.bib",
  "cited_by": 0,
  "doi": "10.1109/lmwt.2026.3666201",
  "fulltext_url": null,
  "id": "axa3tb9z63e1y",
  "issns": [
    "2771-957X",
    "2771-9588"
  ],
  "landing_url": "https://univ-brest.hal.science/hal-05734154v1",
  "language": "en",
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
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  "openalex": "W7133215497",
  "pdf_url": "https://univ-brest.hal.science/hal-05734154/document",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-01",
  "publisher": "Institute of Electrical and Electronics Engineers",
  "ris": "https://research.draconitic.com/paper/axa3tb9z63e1y.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:24Z",
      "native_id": "hal-05734154",
      "source": "hal",
      "url": "https://univ-brest.hal.science/hal-05734154v1"
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  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "hal:0.stat",
      "subfield": "statistics"
    }
  ],
  "title": "Mask Reconstruction via Kernel-Based Surrogate Modeling for Automated Circulator Design",
  "title_text": "Mask Reconstruction via Kernel-Based Surrogate Modeling for Automated Circulator Design",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:24Z",
  "url": "https://research.draconitic.com/paper/axa3tb9z63e1y",
  "venue": "IEEE Microwave and Wireless Technology Letters",
  "versions": []
}