Predicting Reactivity and Enantioselectivity from Small Experimental Datasets: A Case Study in Asymmetric Magnesium Catalysis
Predicting reactivity and enantioselectivity from limited experimental data remains a central challenge in asymmetric catalysis, where reaction development is often guided by small, internally generated scope datasets rather than large screening campaigns. Here, we show that such datasets can be converted into practi...