Dataset Open Access

Scripts and Models for "Predicting electronic structures at any length scale with machine learning"

Fiedler, Lenz; Schmerler, Steve; Modine, Normand; Vogel, Dayton J.; Popoola, Gabriel A.; Thompson, Aidan; Rajamanickam, Sivasankaran; Cangi, Attila


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    <dct:description>&lt;pre&gt;&lt;strong&gt;Scripts and Models for &amp;quot;Predicting the Electronic Structure of Matter on Ultra-Large Scales&amp;quot;&lt;/strong&gt; This data set contains scripts and models to reproduce the results of our manuscript &amp;quot;Physics-informed Machine Learning Models for Scalable Density Functional Theory Calculations&amp;quot;. The scripts are supposed to be used in conjunction with the ab-initio data sets also published alongside our research article. &lt;em&gt;Requirements&lt;/em&gt; &lt;em&gt; &lt;/em&gt;python&amp;gt;=3.7.x mala&amp;gt;=1.1.0 ase numpy &lt;em&gt;Contents&lt;/em&gt; | Folder name | Description | |------------------|--------------------------------------------------| | data_analysis/ | Run script for RDF calculations | | model_inference/ | Run script to run inference based on MALA models | | model_training/ | Run script to train MALA models | | trained_models/ | Trained models for beryllium and aluminium | &lt;/pre&gt;</dct:description>
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