The
accurate prediction of thermochemistry and kinetic parameters
is an important task for reaction modeling. Unfortunately, the commonly
used harmonic oscillator model is often not accurate enough due to
the absence of anharmonic effects. In this work, we improve the representation
of an anharmonic potential energy surface (PES) using uncoupled mode
(UM) approximations, which model the full-dimensional PES as a sum
of one-dimensional potentials of each mode. We systematically analyze
different PES sampling schemes and coordinate systems for constructing
the one-dimensional potentials, and benchmark the performance of UM
methods on data sets of molecular thermochemistry and kinetic properties.
The results show that the accuracy of the UM approach strongly depends
on how the one-dimensional potentials are defined. If one-dimensional
potentials are constructed by sampling along normal mode directions
(UM-N) or along the directions that minimize intermode coupling (E-
and E′-optimized), the accuracies of the predicted properties
are not significantly improved compared to the harmonic oscillator
model. However, significant improvements can be achieved by sampling
the torsional modes separately from the vibrational modes (UM-T and
UM-VT). In this work, three types of coordinate systems are examined,
including redundant internal coordinates (RIC), hybrid internal coordinates
(HIC), and translation-rotation-internal coordinates (TRIC). The HIC
and TRIC coordinate systems can outperform RIC since transition state
species may contain large-amplitude interfragmentary motions that
regular internal coordinates can not describe adequately. Among all
the methods we examined, the activation energies and pre-exponential
factors calculated using UM-VT with either TRIC or HIC best agree
with the reference values. Since UM-VT requires only a number of additional
single point energy calculations for each independent mode, the scaling
of computational costs of UM-VT is the same as that of the standard
harmonic oscillator model, making UM-VT an appealing way of calculating
the thermochemistry and kinetic properties for large-size systems.