Dataset Open Access
Fiedler, Lenz;
Modine, Normand A.;
Miller, Kyle D.;
Cangi, Attila
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nmm##2200000uu#4500</leader> <controlfield tag="001">2266</controlfield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="a">Fiedler, Lenz</subfield> <subfield code="u">HZDR / CASUS</subfield> <subfield code="0">(orcid)0000-0002-8311-0613</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Modine, Normand A.</subfield> <subfield code="u">Sandia National Laboratories</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Miller, Kyle D.</subfield> <subfield code="u">Sandia National Laboratories</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Cangi, Attila</subfield> <subfield code="u">HZDR / CASUS</subfield> <subfield code="0">(orcid)0000-0001-9162-262X</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><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></subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">5097731178</subfield> <subfield code="u">https://rodare.hzdr.de/record/2266/files/ml_electronic_temperature_data.zip</subfield> <subfield code="z">md5:1b21a1be318ae355556e9bf7d9d9acb2</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Scripts and models for "Machine learning the electronic structure of matter across temperatures"</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">dataset</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-rodare</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="o">oai:rodare.hzdr.de:2266</subfield> <subfield code="p">openaire_data</subfield> <subfield code="p">user-rodare</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.14278/rodare.2266</subfield> <subfield code="2">doi</subfield> </datafield> <controlfield tag="005">20241024145832.0</controlfield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="a">https://www.hzdr.de/publications/Publ-36845</subfield> <subfield code="i">isIdenticalTo</subfield> <subfield code="n">url</subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="a">https://www.hzdr.de/publications/Publ-39797</subfield> <subfield code="i">isReferencedBy</subfield> <subfield code="n">url</subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="a">https://www.hzdr.de/publications/Publ-37111</subfield> <subfield code="i">isReferencedBy</subfield> <subfield code="n">url</subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="a">10.14278/rodare.2265</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="n">doi</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2023-04-20</subfield> </datafield> </record>
All versions | This version | |
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Views | 307 | 307 |
Downloads | 22 | 22 |
Data volume | 112.2 GB | 112.2 GB |
Unique views | 282 | 282 |
Unique downloads | 22 | 22 |
Fiedler, Lenz, Modine, Normand A., Miller, Kyle D., & Cangi, Attila. (2023). Scripts and models for "Machine learning the electronic structure of matter across temperatures" (Version v1.0.0) [Data set]. Rodare. http://doi.org/10.14278/rodare.2266