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Draft a notebook that leverages the new ions data for data analysis and machine learning tasks. Some ideas on the structure:
Add a folder for storing example notebooks
Add docs for how to run the notebooks
Add them in example uploads entry points.
API call to retrieve the data. First filter would be 2D perovskites but we can combine more.
Mosaic of all the organic cations used. Use rdkit for that and maybe nglview in a tiny widget app
Derive geometric features of the molecules and check if they have any correlation with materials properties like bandgap.
...
Ideally, find new molecules that target a new property. For example, give me a new cation that will produce a PbI3 based perovskite for a bandgap of 1.9 eV.
The text was updated successfully, but these errors were encountered:
Draft a notebook that leverages the new ions data for data analysis and machine learning tasks. Some ideas on the structure:
rdkit
for that and maybenglview
in a tiny widget app...
Ideally, find new molecules that target a new property. For example, give me a new cation that will produce a PbI3 based perovskite for a bandgap of 1.9 eV.
The text was updated successfully, but these errors were encountered: