New Computational Framework Tackles a Century-Old Challenge Researchers from The University of New Mexico (UNM) and Los Alamos National Laboratory (LANL) have unveiled a pioneering computational framework that dramatically improves how scientists compute the configurational integral—a central and notoriously difficult part of statistical physics. The team’s system, called THOR (Tensors for High-dimensional Object Representation) AI,…