{
  "abstract": "A polynomial Ridge regression model is proposed to accelerate the prediction of temperature-dependent optical responses in a GaN/AlN truncated-pyramidal quantum dot. Reference transition energies were obtained at four temperatures (0, 100, 300, and 500 K) using a combination of coordinate-transformation and finite-difference methods. Leave-one-temperature-out cross-validation was used to select a second-order model with λ=0.178, yielding an NRMSE of 0.0335 and an R2 of 0.9923. The predictions at 200 and 400 K remain independently unvalidated, whereas comparison with an independent FDM calculation at 600 K gives an absolute transition-energy error of 0.41 meV (0.35%). The reconstructed spectra exhibit the expected temperature-dependent shifts. An inference speed-up of up to 2.66×107 was obtained for three additional temperatures, excluding model training and reference-data generation costs. These predictions have not been independently validated, and the small dataset limits conclusions regarding generalization. The approach is therefore presented as a preliminary surrogate demonstration for the investigated configuration.",
  "abstract_shown": true,
  "affiliations": [
    "Condensed Matter and Nanoscience Laboratory, Faculty of Sciences of Monastir, University of Monastir, Monastir 5019, Tunisia",
    "Higher Institute of Computer Science and Communication Technologies of Sousse, University of Sousse, Sousse 4011, Tunisia",
    "Department of Physics, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Tesnim Brahim"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Adel Bouazra",
      "orcid": "0000-0002-3180-2976"
    },
    {
      "affs": [
        2
      ],
      "name": "Beriham Ibrahim Basha",
      "orcid": "0000-0001-6872-8397"
    },
    {
      "affs": [
        2
      ],
      "name": "Fatma Aouaini",
      "orcid": "0000-0002-8829-2698"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/5h6qgswtvxsm3.bib",
  "cited_by": 0,
  "doi": "10.3390/nano16211446",
  "fulltext_url": null,
  "id": "5h6qgswtvxsm3",
  "issns": [
    "2079-4991"
  ],
  "landing_url": "https://www.mdpi.com/2079-4991/16/21/1446",
  "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": null,
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-08",
  "publisher": "MDPI AG",
  "ris": "https://research.draconitic.com/paper/5h6qgswtvxsm3.ris",
  "sources": [
    {
      "first_seen": "2026-11-10T00:21:23Z",
      "native_id": "10.3390/nano16211446",
      "source": "crossref",
      "url": "https://www.mdpi.com/2079-4991/16/21/1446"
    }
  ],
  "subjects": [
    {
      "field": "chemistry",
      "origin": "issn:2079-4991",
      "subfield": "materials-polymers"
    }
  ],
  "title": "Accelerating Temperature-Dependent Optical Response Prediction in Truncated Pyramidal GaN/AlN Quantum Dots via Polynomial Ridge Regression",
  "title_text": "Accelerating Temperature-Dependent Optical Response Prediction in Truncated Pyramidal GaN/AlN Quantum Dots via Polynomial Ridge Regression",
  "type": "peer-reviewed",
  "updated_at": "2026-11-10T00:21:23Z",
  "url": "https://research.draconitic.com/paper/5h6qgswtvxsm3",
  "venue": "Nanomaterials",
  "versions": []
}