Transfer learning for reaction optimisation: overview of its applications and limits
Reaction optimisation remains a critical yet resource-intensive step in chemical synthesis and process development, particularly in complex, multidimensional reaction spaces. Recent advances in automated experimentation and machine-learning-guided optimisation have significantly improved the efficiency of identifying o...