Machine learning guided tuning charge distribution by composition in MOFs for oxygen evolution reaction

We utilize machine learning (ML) to accelerate the synthesis of MOFs, starting by building a library of over 900 MOFs with different metal salts, solvent ratios and reaction tine, and then utilizing zeta potentials as target variables for ML training.