Bayesian Optimization for Self-Driving Materials Laboratories: From Algorithms to Physics-Informed Workflows

Self-driving laboratories (SDLs) are transforming materials research by closing the loop among synthesis, characterization, data analysis and experimental decision making.

Self-driving laboratories (SDLs) are transforming materials research by closing the loop among synthesis, characterization, data analysis and experimental decision making. Bayesian optimization (BO) is a decision engine for these loops because it can select experiments from…