Artificial Intelligence as a Convergence Catalyst in the Physical and Chemical Sciences: Advances in Materials Discovery, Nanostructured Energy Storage, and Space Weather Physics
A common methodological pattern recurs across all three domains: AI is used not to replace physical theory but to navigate high-dimensional parameter spaces that are analytically or computationally intractable by classical means alone, and the strongest, most defensible results are those subjected to independent, domain-expert critical appraisal rather than accepted at face value.