AI-driven methods applications for lithium dendrite growth and inhibition. (A) The dynamic behavior of Li deposition on the Cu surfaces with the different Miller indices using large-scale MD simulations [103]. (B) Morphology evolution of lithium dendrite with a self-consistent continuum solvation model using neural network potential [104]. (C) The dynamic behavior of Li deposition on the Cu surfaces with external pressure using an ML potential [105]. (D) High-throughput screening of over 12,000 inorganic solid electrolytes based on stability to obtain candidate solid electrolyte with low dendrite and high ionic conductivity [110]. (A) Adapted with permission from Ref. [103], Copyright©2022, John Wiley and Sons. (B) Adapted with permission from Ref. [104], Copyright©2022, John Wiley and Sons. (C) Adapted with permission from Ref. [105], Copyright©2023, Elsevier. (D) Adapted with permission from Ref. [110], Copyright©2022, American Chemical Society.