  We combined Moment Tensor Potential (MTP) and Ring Polymer Molecular Dynamics
(RPMD) for calculating the thermal rate constants of the OH + HBr system. We
used the active learning (AL) algorithm for constructing a training set during
RPMD. We compared the obtained RPMD-AL-MTP rate constants with the ones
previously calculated using the quasi-classical trajectories (QCT) and the
POTLIB potential energy surface, and with the experimental ones. We
demonstrated that the RPMD rate constants were systematically closer to the
experimental rate constants than the QCT ones at 200 K, 300 K, and 500 K.
