| --- |
| library_name: matgl |
| tags: |
| - matgl |
| - materials-science |
| - graph-neural-network |
| --- |
| # M3GNet-Eform-MP-2019.4.1 |
|
|
| ## Introduction |
|
|
| Pre-trained formation energy model based on M3GNet. |
| Retrained due to changes in M3GNet implementation in MatGL. |
|
|
| ## Usage |
|
|
| ```python |
| import matgl |
| |
| model = matgl.load_model("materialyze/M3GNet-Eform-MP-2019.4.1") |
| ``` |
|
|
| ## Model Details |
|
|
| - Number of parameters: 394,000 |
|
|
| ## Metrics |
|
|
| | Split | MAE (eV/atom) | |
| |---|---:| |
| | Train | 0.006 | |
| | Validation | 0.022 | |
|
|
| ## Metadata |
|
|
| ```json |
| { |
| "dataset": "MP-EForm-2019.4.1", |
| } |
| ``` |
