THOR AI solves a 100-year-old physics problem in seconds

Researchers at The University of New Mexico and Los Alamos National Laboratory built the THOR AI framework to solve configurational integrals, a 100-year-old physics problem, in seconds. The system combines tensor network algorithms with machine learning potentials to model material behavior accurately, overcoming the curse of dimensionality that stumped supercomputers for decades.