Generative Artificial Intelligence Navigated Development of Solvents for Next Generation High‐Performance Magnesium Batteries

, surpassing previously reported results. In summary, this work establishes a virtual molecular database and develops a streamlined screening methodology for Mg battery solvents based on their physicochemical properties, reducing the candidate pool from 823 to 18 and improving efficiency by nearly 50-fold. This research paradigm is not limited to the development of Mg batteries and can be readily extended to the exploration of other battery systems.