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

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.

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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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