Dataset Open Access
Kumar, Sandeep;
Tahmasbi, Hossein;
Ramakrishna, Kushal;
Lokamani, Mani;
Nikolov, Svetoslav;
Tranchida, Julien;
Wood, Mitchell A.;
Cangi, Attila
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<foaf:name>Nikolov, Svetoslav</foaf:name>
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<foaf:name>Computational Multiscale Department, Sandia National Laboratories, 87185 Albuquerque, NM, United States</foaf:name>
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<foaf:name>Tranchida, Julien</foaf:name>
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<foaf:familyName>Tranchida</foaf:familyName>
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<foaf:name>Wood, Mitchell A.</foaf:name>
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<foaf:name>Cangi, Attila</foaf:name>
<foaf:givenName>Attila</foaf:givenName>
<foaf:familyName>Cangi</foaf:familyName>
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<foaf:name>Center for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Görlitz, Germany</foaf:name>
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<dct:title>Training scripts and input data sets: Transferable Interatomic Potential for Aluminum from Ambient Conditions to Warm Dense Matter</dct:title>
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<dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2023</dct:issued>
<dcat:keyword>Machine Learning Potential</dcat:keyword>
<dcat:keyword>Warm Dense Matter</dcat:keyword>
<dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2023-07-18</dct:issued>
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<dct:description><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></dct:description>
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