Machine Learning Approaches for Catalytic Asymmetric beta-C(sp3)-H Bond Activation Reactions
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Updated
Jun 7, 2024 - Jupyter Notebook
Machine Learning Approaches for Catalytic Asymmetric beta-C(sp3)-H Bond Activation Reactions
Machine learning (BGMM/GP) code for the Catassembly Triad framework in JACS. Validates catalyst efficacy prediction via triad descriptors (attachability, controllability, detachability).
Streamlit app to perform various enantiomeric and diastereomeric calculations
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