{
  "abstract": "Cross-spectral prediction infers information in one spectral band from observations acquired in another. This task is ill-posed because multiple target-band signals can be compatible with a single source observation. Image-space supervision alone does not test consistency with a measured detector response. Here, we incorporate the calibrated response manifold of a gate-tunable PdSe ₂ /h-BN/WSe ₂ photodetector as a differentiable detector-response layer. Parameterized by wavelength, optical power, source-drain bias and gate voltage, this layer constrains the magnitude and polarity of the predicted detector response while preserving image fidelity. In visible-to-infrared cross-spectral prediction, the framework achieves a peak signal-to-noise ratio of 26.58 dB and a structural similarity index of 0.89. It also reduces detector-space error relative to architecture-only and response-corrupted controls. Post-inference measurements further evaluate 64-mask response consistency after 1310 nm optical re-encoding. These results establish detector-mediated cross-spectral prediction as a framework that combines image reconstruction with measured response-space consistency under the tested conditions.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 15,
  "authors": [
    {
      "name": "Kening Xiao"
    },
    {
      "name": "Xingsi Liu"
    },
    {
      "name": "Libo Zhang",
      "orcid": "0000-0001-6840-8780"
    },
    {
      "name": "Jintao Fu"
    },
    {
      "name": "Yiran Tan"
    },
    {
      "name": "Xin Li"
    },
    {
      "name": "Wenqi Mo"
    },
    {
      "name": "Bolang Peng"
    },
    {
      "name": "Jinqiu Huang"
    },
    {
      "name": "Xueyuan Wei"
    },
    {
      "name": "Li Han",
      "orcid": "0000-0001-5862-0593"
    },
    {
      "name": "Jiale He"
    },
    {
      "name": "Guanhai Li",
      "orcid": "0000-0002-2745-055X"
    },
    {
      "name": "Cheng-Wei Qiu",
      "orcid": "0000-0002-6605-500X"
    },
    {
      "name": "Xiaoshuang Chen",
      "orcid": "0000-0003-0131-9454"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/0eymk7hd35qgz.bib",
  "cited_by": 0,
  "doi": "10.1038/s41467-026-78977-w",
  "fulltext_url": null,
  "id": "0eymk7hd35qgz",
  "issns": [
    "2041-1723"
  ],
  "landing_url": "https://www.nature.com/articles/s41467-026-78977-w",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2505|2D Materials and Applications"
    ]
  ],
  "openalex": "W7224104212",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-28",
  "publisher": "Springer Science and Business Media LLC",
  "ris": "https://research.draconitic.com/paper/0eymk7hd35qgz.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:39Z",
      "native_id": "10.1038/s41467-026-78977-w",
      "source": "crossref",
      "url": "https://www.nature.com/articles/s41467-026-78977-w"
    }
  ],
  "subjects": [
    {
      "field": "chemistry",
      "origin": "openalex:2505|2D Materials and Applications",
      "subfield": "materials-polymers"
    }
  ],
  "title": "Detector-mediated cross-spectral prediction with a gate-tunable van der Waals tunneling photodetector",
  "title_text": "Detector-mediated cross-spectral prediction with a gate-tunable van der Waals tunneling photodetector",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:39Z",
  "url": "https://research.draconitic.com/paper/0eymk7hd35qgz",
  "venue": "Nature Communications",
  "versions": []
}