Dataset Open Access

Data publication: Physics-enhanced neural networks for equation-of-state calculations

Callow, Timothy James


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{
  "issued": {
    "date-parts": [
      [
        2023, 
        5, 
        4
      ]
    ]
  }, 
  "author": [
    {
      "family": "Callow, Timothy James"
    }
  ], 
  "DOI": "10.14278/rodare.2289", 
  "title": "Data publication: Physics-enhanced neural networks for equation-of-state calculations", 
  "publisher": "Rodare", 
  "abstract": "<p>Data for the&nbsp;paper &quot;Physics-enhanced neural networks for equation-of-state calculations&quot;</p>\n\n<p>There are two tar folders:</p>\n\n<ol>\n\t<li>\n\t<p>&nbsp;trained_models.tar: This contains the final trained models</p>\n\t</li>\n\t<li>\n\t<p>atoMEC_data.tar.gz: This contains the output from the average-atom calculations.</p>\n\t</li>\n</ol>\n\n<p>For a more detailed explanation of the contents of these folders, please consult the README.md file of this&nbsp;<a href=\"https://github.com/atomec-project/neuralEOS\">GitHub repository</a></p>", 
  "id": "2289", 
  "type": "dataset"
}
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