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A Virtual Module Compound Enumeration Screening (V-MCES) approach (an unsupervised machine learning workflow)

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V_MCES

A Virtual Module Compound Enumeration Screening (V-MCES) approach (an unsupervised machine learning workflow) that avoids the establishment of expensive training databases, which can search the chemical space containing over 4.2 × 105 candidates to identify promising AEMs materials with high chemical stability

database_unmarked.csv can be download at https://figshare.com/s/7be6f8f4f67081f0e637

The work was published in Angewandte Chemie. "Unsupervised Learning-Guided Accelerated Discovery of Alkaline Anion Exchange Membranes for Fuel Cells" https://doi.org/10.1002/anie.202300388

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A Virtual Module Compound Enumeration Screening (V-MCES) approach (an unsupervised machine learning workflow)

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  • Jupyter Notebook 68.9%
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