Dataset Open Access
{
"creator": [
{
"@type": "Person",
"affiliation": "Center for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rossendorf",
"name": "Callow, Timothy James",
"@id": "https://orcid.org/0000-0002-4878-3521"
}
],
"identifier": "https://doi.org/10.14278/rodare.2289",
"@type": "Dataset",
"keywords": [],
"sameAs": [
"https://www.hzdr.de/publications/Publ-38068"
],
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"@type": "DataDownload",
"fileFormat": "gz",
"contentUrl": "https://rodare.hzdr.de/api/files/74128a4b-a7d6-4525-b8f1-ba9799c8fe10/atoMEC_data.tar.gz"
},
{
"@type": "DataDownload",
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"url": "https://rodare.hzdr.de/record/2289",
"description": "<p>Data for the paper "Physics-enhanced neural networks for equation-of-state calculations"</p>\n\n<p>There are two tar folders:</p>\n\n<ol>\n\t<li>\n\t<p> 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 <a href=\"https://github.com/atomec-project/neuralEOS\">GitHub repository</a></p>",
"license": "https://creativecommons.org/licenses/by/4.0/legalcode",
"contributor": [
{
"@type": "Person",
"affiliation": "Center for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rossendorf",
"name": "Cangi, Attila",
"@id": "https://orcid.org/0000-0001-9162-262X"
},
{
"@type": "Person",
"affiliation": "The Hebrew University of Jerusalem",
"name": "Kraisler, Eli",
"@id": "https://orcid.org/0000-0003-0139-258X"
},
{
"@type": "Person",
"affiliation": "Center for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rossendorf",
"name": "Nikl, Jan",
"@id": "https://orcid.org/0000-0003-0131-0628"
}
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"@context": "https://schema.org/",
"@id": "https://doi.org/10.14278/rodare.2289",
"datePublished": "2023-05-04",
"name": "Data publication: Physics-enhanced neural networks for equation-of-state calculations"
}
| All versions | This version | |
|---|---|---|
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| Downloads | 73 | 73 |
| Data volume | 90.8 GB | 90.8 GB |
| Unique views | 576 | 576 |
| Unique downloads | 69 | 69 |