move your atoms into place!
Project description
GrooveMat
Get your atoms moving!
Overview
This software package uses the Crystal Graph Convolutional Neural Networks (CGCNN) framework and M3gnet to create an un-supervised GNN that converges the internal degrees of freedom of a crystal lattice. The package is very simple, allowing you to train the model and predict converged cif files!
Download
To download disco, use the command below
pip install groovemat
To get an overview of the commands, run the following command
groovemat --help
Results
Below is a table containing some of the results gathered from the program.
| CIF ID | Mean Error (Å) | Max Error (Å) |
|---|---|---|
| Nd1 In1 O3 | 0.0087 | 0.0125 |
| Np1 Be1 O3 | 0.0061 | 0.0074 |
| Mn3 Au1 N1 | 0.0039 | 0.0076 |
| Na1 Li1 O3 | 0.0077 | 0.0095 |
| La1 Cr1 O3 | 0.0088 | 0.0135 |
Download
pip install groovemat
Project details
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