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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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@misc{kumar_sandeep_2023_2369,
  author       = {Kumar, Sandeep and
                  Tahmasbi, Hossein and
                  Ramakrishna, Kushal and
                  Lokamani, Mani and
                  Nikolov, Svetoslav and
                  Tranchida, Julien and
                  Wood, Mitchell A. and
                  Cangi, Attila},
  title        = {{Training scripts and input data sets: Transferable 
                   Interatomic Potential for Aluminum from Ambient
                   Conditions to Warm Dense Matter}},
  month        = jul,
  year         = 2023,
  doi          = {10.14278/rodare.2369},
  url          = {https://doi.org/10.14278/rodare.2369}
}
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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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Version 1 10.14278/rodare.2369 Jul 18, 2023
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