Scientists from Emory and Yale show how an AI tool rapidly identifies quantum phase transitions in superconductors by analyzing spectral data. Using simulations combined with critical experimental results, their 2025 Newton study demonstrates a process that reduces analysis from months to minutes—a promising step to refine experimental techniques in materials science.