June 10, 2024 Software Open Access

Da Assuncao Godinho, Jose Ricardo; Winardhi, Chandra

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{
  "datePublished": "2024-06-10", 
  "description": "<p>\u00a03D empirical dissolution model aimed at examining the time-series evolution of macroscopic features together with the corresponding changes in the dissolution rate under far from equilibrium batch reactor conditions. The developed empirical model is based on the mineral geometry (surface topography and volume) derived from X-ray computed tomography (CT) measurements. The macroscopic features are identified using surface curvature which are then used to generate reactivity maps for dissolution models.</p>", 
  "@context": "https://schema.org/", 
  "creator": [
    {
      "@type": "Person", 
      "name": "Da Assuncao Godinho, Jose Ricardo", 
      "@id": "https://orcid.org/0000-0003-0848-0662"
    }, 
    {
      "@type": "Person", 
      "name": "Winardhi, Chandra"
    }
  ], 
  "@type": "SoftwareSourceCode", 
  "keywords": [
    "dissolution model", 
    "3d"
  ], 
  "identifier": "https://doi.org/10.14278/rodare.3012", 
  "url": "https://rodare.hzdr.de/record/3012", 
  "sameAs": [
    "https://www.hzdr.de/publications/Publ-39195"
  ], 
  "name": "3D Empirical Dissolution Model (Winardhi 2024)", 
  "@id": "https://doi.org/10.14278/rodare.3012", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode"
}