BAND-NN is a deep learning architecture for prediction of atomization energy and for geometry optimization.
- Python3
- Keras
- Tensorflow
- Numpy
- Scipy
- Examples for prediction and geometry optimization are provided in examples/ folder.
- Required scripts in scripts/ folder.
- Trained models and weights are provided in models/ and weights/ folders.