In this tutorial we will use the ElemNet neural network architecture (https://github.com/NU-CUCIS/ElemNet) to predict the volume per atom of inorganic compounds, where the open quantum materials database (OQMD) is used as a resource (specifically, the data is taken from Ward et. al., npj Comput. Mater. 2, 16028 (2016)).
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tutorial-nn-regression
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| Name | Last commit | Last update |
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| assets/nn_regression | ||
| data/nn_regression | ||
| nn_regression | ||
| README.md | ||
| metainfo.json | ||
| nn_regression.ipynb | ||
| setup.py |