Boltzmann Generators for Condensed Matter via Riemannian Flow Matching

ArXi:2602.18482v2 Announce Type: replace-cross Sampling equilibrium distributions is fundamental to statistical mechanics. While flow matching has emerged as scalable state-of-the-art paradigm for generative modeling, its potential for equilibrium sampling in condensed-phase systems remains largely unexplored. We address this by incorporating the periodicity inherent to these systems into continuous normalizing flows using Riemannian flow matching.