{
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  "affiliations": [
    "Independent Researcher, Isfahan, Iran",
    "Department of Computer and Data Sciences, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, Iran",
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      "name": "Kourosh Parand",
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  "bibtex": "https://research.draconitic.com/paper/4wcm1kxahkx5c.bib",
  "cited_by": 10,
  "doi": "10.1016/j.cpc.2026.110255",
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  "id": "4wcm1kxahkx5c",
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  "landing_url": "http://arxiv.org/abs/2409.01899",
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  "licence_label": "Licence not stated",
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  "pdf_url": "https://arxiv.org/pdf/2409.01899",
  "pmcid": null,
  "pmid": null,
  "published": "2026-06-06",
  "publisher": "Elsevier BV",
  "ris": "https://research.draconitic.com/paper/4wcm1kxahkx5c.ris",
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      "origin": "openalex:3109|Model Reduction and Neural Networks",
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  "title": "PINNIES: An efficient physics-informed neural network framework for integral operator problems",
  "title_text": "PINNIES: An efficient physics-informed neural network framework for integral operator problems",
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  "updated_at": "2026-11-06T13:20:25Z",
  "url": "https://research.draconitic.com/paper/4wcm1kxahkx5c",
  "venue": "Computer Physics Communications",
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}