Dataset Open Access

Scripts and models for "Machine learning the electronic structure of matter across temperatures"

Fiedler, Lenz; Modine, Normand A.; Miller, Kyle D.; Cangi, Attila


JSON Export

{
  "revision": 6, 
  "conceptdoi": "10.14278/rodare.2265", 
  "stats": {
    "volume": 112150085916.0, 
    "unique_downloads": 22.0, 
    "version_unique_downloads": 22.0, 
    "unique_views": 282.0, 
    "downloads": 22.0, 
    "version_unique_views": 282.0, 
    "version_views": 307.0, 
    "version_downloads": 22.0, 
    "version_volume": 112150085916.0, 
    "views": 307.0
  }, 
  "doi": "10.14278/rodare.2266", 
  "id": 2266, 
  "metadata": {
    "pub_id": "36845", 
    "description": "<pre><em># </em>Data and Scripts for &quot;Machine learning the electronic structure of matter across temperatures&quot;\n\nThis dataset contains data and calculation scripts for the publication &quot;Machine learning the electronic structure of matter across temperatures&quot;.\nIts goal is to enable interested parties to reproduce the experiments we have carried out.\n\n<em>## </em>Prerequesites\n\nThe following software versions are needed for the python scripts:\n\n<em>- </em>`python`: 3.8.x\n<em>- </em>`mala`: 1.2.0 \n<em>- </em>`numpy`: 1.23.0 (lower version may work)\n\nFurther, make sure you have downloaded additional data such as local pseudopotentials and training data.\n\n<em>## </em>Contents\n\n<em>- </em>`data_analysis/`: Contains scripts contain useful functions to reproduce the analysis carried out on the provided \n                    data.\n<em>- </em>`model_training/`: Contains scripts that allow the training and testing of the models discussed in the accompanying\n                     publication.\n<em>- </em>`trained_models`: Contains the models discussed in the accompanying publication. Per data set, five models with \n                    different random initializations were trained. \n</pre>", 
    "doc_id": "1", 
    "doi": "10.14278/rodare.2266", 
    "communities": [
      {
        "id": "rodare"
      }
    ], 
    "publication_date": "2023-04-20", 
    "creators": [
      {
        "name": "Fiedler, Lenz", 
        "affiliation": "HZDR / CASUS", 
        "orcid": "0000-0002-8311-0613"
      }, 
      {
        "name": "Modine, Normand A.", 
        "affiliation": "Sandia National Laboratories"
      }, 
      {
        "name": "Miller, Kyle D.", 
        "affiliation": "Sandia National Laboratories"
      }, 
      {
        "name": "Cangi, Attila", 
        "affiliation": "HZDR / CASUS", 
        "orcid": "0000-0001-9162-262X"
      }
    ], 
    "version": "v1.0.0", 
    "resource_type": {
      "type": "dataset", 
      "title": "Dataset"
    }, 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "access_right": "open", 
    "related_identifiers": [
      {
        "scheme": "url", 
        "relation": "isIdenticalTo", 
        "identifier": "https://www.hzdr.de/publications/Publ-36845"
      }, 
      {
        "scheme": "url", 
        "relation": "isReferencedBy", 
        "identifier": "https://www.hzdr.de/publications/Publ-39797"
      }, 
      {
        "scheme": "url", 
        "relation": "isReferencedBy", 
        "identifier": "https://www.hzdr.de/publications/Publ-37111"
      }, 
      {
        "scheme": "doi", 
        "relation": "isVersionOf", 
        "identifier": "10.14278/rodare.2265"
      }
    ], 
    "relations": {
      "version": [
        {
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "2265"
          }, 
          "count": 1, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "2266"
          }
        }
      ]
    }, 
    "keywords": [], 
    "title": "Scripts and models for \"Machine learning the electronic structure of matter across temperatures\"", 
    "access_right_category": "success"
  }, 
  "owners": [
    354
  ], 
  "updated": "2024-10-24T14:58:32.580436+00:00", 
  "created": "2023-04-20T20:46:39.442779+00:00", 
  "conceptrecid": "2265", 
  "files": [
    {
      "type": "zip", 
      "key": "ml_electronic_temperature_data.zip", 
      "checksum": "md5:1b21a1be318ae355556e9bf7d9d9acb2", 
      "size": 5097731178, 
      "bucket": "8d56b905-ad71-45a0-84bc-4bfbea16606f", 
      "links": {
        "self": "https://rodare.hzdr.de/api/files/8d56b905-ad71-45a0-84bc-4bfbea16606f/ml_electronic_temperature_data.zip"
      }
    }
  ], 
  "links": {
    "badge": "https://rodare.hzdr.de/badge/doi/10.14278/rodare.2266.svg", 
    "doi": "https://doi.org/10.14278/rodare.2266", 
    "conceptbadge": "https://rodare.hzdr.de/badge/doi/10.14278/rodare.2265.svg", 
    "conceptdoi": "https://doi.org/10.14278/rodare.2265", 
    "bucket": "https://rodare.hzdr.de/api/files/8d56b905-ad71-45a0-84bc-4bfbea16606f", 
    "html": "https://rodare.hzdr.de/record/2266", 
    "latest": "https://rodare.hzdr.de/api/records/2266", 
    "latest_html": "https://rodare.hzdr.de/record/2266"
  }
}
307
22
views
downloads
All versions This version
Views 307307
Downloads 2222
Data volume 112.2 GB112.2 GB
Unique views 282282
Unique downloads 2222

Share

Cite as

Fiedler, Lenz, Modine, Normand A., Miller, Kyle D., & Cangi, Attila. (2023). Scripts and models for "Machine learning the electronic structure of matter across temperatures" (Version v1.0.0) [Data set]. Rodare. http://doi.org/10.14278/rodare.2266

Loading...