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