June 23, 2024 Software Open Access

Zavalani, Gentian; Hecht, Michael

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    "https://www.hzdr.de/publications/Publ-39257"
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  "inLanguage": {
    "@type": "Language", 
    "name": "English", 
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  "@context": "https://schema.org/", 
  "name": "surfpy is a Python package for computing surface integrals over smooth embedded manifolds.", 
  "keywords": [
    "high-order integration", 
    "spectral differentiation", 
    "numerical quadrature", 
    "quadrilateral mesh"
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  "@type": "SoftwareSourceCode", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "HZDR \u2013 Helmholtz-Zentrum Dresden-Rossendorf/Casus  & TU Dresden", 
      "name": "Zavalani, Gentian", 
      "@id": "https://orcid.org/0000-0002-5611-4870"
    }, 
    {
      "@type": "Person", 
      "affiliation": "HZDR \u2013 Helmholtz-Zentrum Dresden-Rossendorf/Casus ", 
      "name": "Hecht, Michael", 
      "@id": "https://orcid.org/0000-0001-9214-8253"
    }
  ], 
  "datePublished": "2024-06-23", 
  "description": "<p>Surfpy is a Python package for computing surface integrals over smooth embedded manifolds using spectral differentiation.&nbsp;Surfpy rests on curved surface triangulations realised due to kth-order interpolation of the closest point projection, extending initial linear surface approximations. It achieves this by employing a novel technique called square-squeezing, which involves transforming the interpolation tasks of triangulated manifolds to the standard hypercube using a cube-to-simplex transformation that has been recently introduced.</p>", 
  "license": "https://creativecommons.org/licenses/by/1.0/legalcode", 
  "identifier": "https://doi.org/10.14278/rodare.3029", 
  "@id": "https://doi.org/10.14278/rodare.3029", 
  "url": "https://rodare.hzdr.de/record/3029"
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