Dataset Open Access
Fiedler, Lenz;
Modine, Normand A.;
Miller, Kyle D.;
Cangi, Attila
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<dct:title>Scripts and models for "Machine learning the electronic structure of matter across temperatures"</dct:title>
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<dct:description><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></dct:description>
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