SMACT/.zenodo.json at master · WMD-group/SMACT · GitHub

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{
  "title": "SMACT: Semiconducting Materials by Analogy and Chemical Theory",
  "description": "A collection of rapid screening tools that use elemental data for materials design.",
  "license": {
    "id": "MIT"
  },
  "upload_type": "software",
  "keywords": [
    "materials science",
    "chemistry",
    "screening",
    "semiconductors",
    "machine learning"
  ],
  "creators": [
    {
      "name": "Mastej, Kinga O.",
      "affiliation": "Imperial College London",
      "orcid": "0009-0006-5656-6646"
    },
    {
      "name": "Onwuli, Anthony",
      "affiliation": "Imperial College London"
    },
    {
      "name": "Moriarty, Alexander",
      "affiliation": "University College London"
    },
    {
      "name": "Davies, Daniel",
      "affiliation": "Imperial College London"
    },
    {
      "name": "Nduma, Ryan",
      "affiliation": "Imperial College London"
    },
    {
      "name": "Butler, Keith",
      "affiliation": "University College London"
    },
    {
      "name": "Lee, Jiwoo",
      "affiliation": "Yonsei University"
    },
    {
      "name": "Detrattanawichai, Panyalak",
      "affiliation": "Imperial College London"
    },
    {
      "name": "Ganose, Alex",
      "affiliation": "Imperial College London"
    },
    {
      "name": "Park, Hyunsoo",
      "affiliation": "Imperial College London"
    },
    {
      "name": "Goodall, Rhys",
      "affiliation": "Radical AI"
    },
    {
      "name": "Li, Tianshu",
      "affiliation": "Imperial College London"
    },
    {
      "name": "Walsh, Aron",
      "affiliation": "Imperial College London",
      "orcid": "0000-0001-5460-7033"
    }
  ],
  "related_identifiers": [
    {
      "identifier": "10.21105/joss.01361",
      "relation": "isDocumentedBy",
      "scheme": "doi"
    }
  ]
}