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GitHub / wushanyun64 / 27Al_CQ_prediction

Random forest/XGBoost models for fast prediction of Solid-State NMR EFG CQ parameter for 27Al compounds.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wushanyun64%2F27Al_CQ_prediction

Stars: 1
Forks: 0
Open Issues: 0

License: mit
Language: Jupyter Notebook
Repo Size: 38.2 MB
Dependencies: 31

Created: over 2 years ago
Updated: over 1 year ago
Last pushed: over 1 year ago
Last synced: about 1 month ago

Topics: machine-learning, materials-informatics, nmr

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    Dependencies
    requirements.txt pypi