Dataset Open Access

Training scripts and input data sets: Transferable Interatomic Potential for Aluminum from Ambient Conditions to Warm Dense Matter

Kumar, Sandeep; Tahmasbi, Hossein; Ramakrishna, Kushal; Lokamani, Mani; Nikolov, Svetoslav; Tranchida, Julien; Wood, Mitchell A.; Cangi, Attila

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{
  "abstract": "<p>Here, we provide FitSNAP and DAKOTA input scripts and DFT-MD training data sets used for the generation of transferable SNAP ML-IAP for aluminum.</p>", 
  "issued": {
    "date-parts": [
      [
        2023, 
        7, 
        18
      ]
    ]
  }, 
  "author": [
    {
      "family": "Kumar, Sandeep"
    }, 
    {
      "family": "Tahmasbi, Hossein"
    }, 
    {
      "family": "Ramakrishna, Kushal"
    }, 
    {
      "family": "Lokamani, Mani"
    }, 
    {
      "family": "Nikolov, Svetoslav"
    }, 
    {
      "family": "Tranchida, Julien"
    }, 
    {
      "family": "Wood, Mitchell A."
    }, 
    {
      "family": "Cangi, Attila"
    }
  ], 
  "title": "Training scripts and input data sets: Transferable Interatomic Potential for Aluminum from Ambient Conditions to Warm Dense Matter", 
  "DOI": "10.14278/rodare.2369", 
  "type": "dataset", 
  "id": "2369", 
  "publisher": "Rodare"
}
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Publication date:
July 18, 2023
DOI:
10.14278/rodare.2369

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10.14278/rodare.2369

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Keyword(s):
Machine Learning Potential Warm Dense Matter
Related identifiers:
Identical to:
https://www.hzdr.de/publications/Publ-37282
Referenced by:
https://www.hzdr.de/publications/Publ-36890
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License (for files):
Other (Open)

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Version 1 10.14278/rodare.2369 Jul 18, 2023
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