Dataset Open Access
Fiedler, Lenz; Modine, Normand A.; Miller, Kyle D.; Cangi, Attila
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.14278/rodare.2266</identifier> <creators> <creator> <creatorName>Fiedler, Lenz</creatorName> <givenName>Lenz</givenName> <familyName>Fiedler</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8311-0613</nameIdentifier> <affiliation>HZDR / CASUS</affiliation> </creator> <creator> <creatorName>Modine, Normand A.</creatorName> <givenName>Normand A.</givenName> <familyName>Modine</familyName> <affiliation>Sandia National Laboratories</affiliation> </creator> <creator> <creatorName>Miller, Kyle D.</creatorName> <givenName>Kyle D.</givenName> <familyName>Miller</familyName> <affiliation>Sandia National Laboratories</affiliation> </creator> <creator> <creatorName>Cangi, Attila</creatorName> <givenName>Attila</givenName> <familyName>Cangi</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9162-262X</nameIdentifier> <affiliation>HZDR / CASUS</affiliation> </creator> </creators> <titles> <title>Scripts and models for "Machine learning the electronic structure of matter across temperatures"</title> </titles> <publisher>Rodare</publisher> <publicationYear>2023</publicationYear> <dates> <date dateType="Issued">2023-04-20</date> </dates> <resourceType resourceTypeGeneral="Dataset"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/2266</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-36845</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsReferencedBy">https://www.hzdr.de/publications/Publ-37111</relatedIdentifier> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.2265</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/rodare</relatedIdentifier> </relatedIdentifiers> <version>v1.0.0</version> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><pre><em># </em>Data and Scripts for &quot;Machine learning the electronic structure of matter across temperatures&quot; This dataset contains data and calculation scripts for the publication &quot;Machine learning the electronic structure of matter across temperatures&quot;. Its goal is to enable interested parties to reproduce the experiments we have carried out. <em>## </em>Prerequesites The following software versions are needed for the python scripts: <em>- </em>`python`: 3.8.x <em>- </em>`mala`: 1.2.0 <em>- </em>`numpy`: 1.23.0 (lower version may work) Further, make sure you have downloaded additional data such as local pseudopotentials and training data. <em>## </em>Contents <em>- </em>`data_analysis/`: Contains scripts contain useful functions to reproduce the analysis carried out on the provided data. <em>- </em>`model_training/`: Contains scripts that allow the training and testing of the models discussed in the accompanying publication. <em>- </em>`trained_models`: Contains the models discussed in the accompanying publication. Per data set, five models with different random initializations were trained. </pre></description> </descriptions> </resource>
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