  The paper by No\'e et al. [F. No\'e, S. Olsson, J. K\"ohler and H. Wu,
Science, 365:6457 (2019)] introduced the concept of Boltzmann Generators (BGs),
a deep generative model that can produce unbiased independent samples of
many-body systems. They can generate equilibrium configurations from different
metastable states, compute relative stabilities between different structures of
proteins or other organic molecules, and discover new states. In this
commentary, we motivate the necessity for a new generation of sampling methods
beyond molecular dynamics, explain the methodology, and give our perspective on
the future role of BGs.
