metadata
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
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
{
"dataset": "MP-EForm-2019.4.1",
}