{
  "abstract": "Low-temperature infrared sensing requires temperature information to be extracted from weak thermal radiation while preserving optical throughput. Nanoimprinted metasurface filters combine multispectral encoding with neural-network calibration to address this challenge. A single circular-ring geometry controls passband position, bandwidth, and overlap, with simulated tuning across 6.4-11.2 μm. Deep-ultraviolet stepper lithography and ultraviolet nanoimprinting transfer reusable master patterns to 1-inch zinc sulfide filters. Four broad, partially overlapping bands retain peak transmittance near 80% and provide complementary spectral inputs for blackbody measurements from -20°C to 20°C. Neural-network regression on the processed calibration curves achieves a mean absolute error of 0.160°C, compared with 0.434°C for one unfiltered input, a reduction of approximately 63%. Temperature-resolved comparisons also identify lower errors at the cold end of the range. By connecting geometric spectral design, replicable fabrication, and computational temperature retrieval, this approach offers a route to compact multispectral thermometers that make better use of weak infrared signals.",
  "abstract_shown": true,
  "affiliations": [
    "Global College Shanghai Jiao Tong University Shanghai China.",
    "School of Integrated Circuits Shanghai Polytechnic University Shanghai China."
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 3,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Shiyu Yang",
      "orcid": "0009-0004-8177-491X"
    },
    {
      "affs": [
        1
      ],
      "name": "Zhijuan Su"
    },
    {
      "affs": [
        0
      ],
      "name": "Yaping Dan",
      "orcid": "0000-0002-2983-7213"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/51pz54pj5hndt.bib",
  "cited_by": 0,
  "doi": "10.1002/nap2.70345",
  "fulltext_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13726500/?tool=EBI",
  "id": "51pz54pj5hndt",
  "issns": [
    "2192-8606",
    "2192-8614"
  ],
  "landing_url": "https://europepmc.org/article/PMC/PMC13726500",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Research Article"
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      "openalex",
      "2504|Metamaterials and Metasurfaces Applications"
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  "openalex": "W7225127260",
  "pdf_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13726500/pdf/?tool=EBI",
  "pmcid": "PMC13726500",
  "pmid": "42974469",
  "published": "2026-11-01",
  "publisher": "Wiley",
  "ris": "https://research.draconitic.com/paper/51pz54pj5hndt.ris",
  "sources": [
    {
      "first_seen": "2026-11-03T15:20:51Z",
      "native_id": "PMC:PMC13726500",
      "source": "europepmc",
      "url": "https://europepmc.org/article/PMC/PMC13726500"
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    {
      "first_seen": "2026-11-04T15:20:47Z",
      "native_id": "MED:42974469",
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      "url": "https://europepmc.org/article/MED/42974469"
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    {
      "first_seen": "2026-11-05T12:22:49Z",
      "native_id": "PMC13726500",
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      "url": "https://doi.org/10.1002/nap2.70345"
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  ],
  "subjects": [
    {
      "field": "chemistry",
      "origin": "openalex:2504|Metamaterials and Metasurfaces Applications",
      "subfield": "materials-polymers"
    }
  ],
  "title": "Nanoimprinted Infrared Metasurface Multispectral Filters for Neural‐Network‐Assisted Low‐Temperature Sensing",
  "title_text": "Nanoimprinted Infrared Metasurface Multispectral Filters for Neural‐Network‐Assisted Low‐Temperature Sensing",
  "type": "peer-reviewed",
  "updated_at": "2026-11-06T12:22:26Z",
  "url": "https://research.draconitic.com/paper/51pz54pj5hndt",
  "venue": "Nanophotonics (Berlin, Germany)",
  "versions": []
}