The collision reaction of H + O2 = OH + O
is a pivotal
step in combustion. To investigate the influence of singlet oxygen
on this reaction, we computed potential energy surfaces (PESs) for
all six lowest states using high-level ab initio methods
and coupled them with embedded atom neural network (EANN) fitting.
By integrating quasi-classical trajectory (QCT) with trajectory surface
hopping (TSH) based on the fitted PESs, we simulated the dynamics
of both ground- and excited-states to derive the reaction rate constants
for the forward and reverse processes. The results reveal that the
forward reaction facilitates radical generation, promoting combustion
reactions. Furthermore, calculations of reverse reaction rate constants
indicate that all electronic states ultimately yield ground-state
oxygen, leading to radical deactivation and exerting an inhibitory
effect on combustion processes.