A Breakthrough in Statistical Physics Researchers from The University of New Mexico (UNM) and Los Alamos National Laboratory (LANL) have unveiled a novel computational framework that tackles a long-standing obstacle in statistical physics. The THOR (Tensors for High-dimensional Object Representation) AI framework applies tensor network algorithms to compress and evaluate the sprawling configurational integrals and…