Scripts and Models for "Predicting electronic structures at any length scale with machine learning"
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<pre><strong>Scripts and Models for "Predicting the Electronic Structure of Matter on Ultra-Large Scales"</strong> This data set contains scripts and models to reproduce the results of our manuscript "Physics-informed Machine Learning Models for Scalable Density Functional Theory Calculations". The scripts are supposed to be used in conjunction with the ab-initio data sets also published alongside our research article. <em>Requirements</em> <em> </em>python>=3.7.x mala>=1.1.0 ase numpy <em>Contents</em> | 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 | </pre>
提供机构:
Rodare
创建时间:
2022-10-21



