MOF Synthesis Prediction via Automatic Data Mining and Machine Learning
The design and functionalization of materials is a cornerstone of synthetic chemistry. Since its discovery, a quarter of a century ago, reticular synthesis — linking molecular building units by strong bonds into 2D and 3D extended crystalline porous metal-organic frameworks (MOFs) — has been added to the repertoire of synthetic chemists. Reticular chemistry operates in […]