In this study, complete (
i.e.
, including
all vibrational
quantum numbers in an N
2
vibrational ladder) data sets
of vibration-to-vibration and vibration-to-translation rate coefficients
for N
2
–N
2
collisions are explicitly computed
along with transport properties (shear and bulk viscosity, thermal
conductivity, and self-diffusion) in the temperature range 100–9000
K. To reach this goal, we improved a mixed quantum–classical
(MQC) dynamics approach by lifting the constraint of a Morse treatment
of the vibrational wave function and intramolecular potential and
permitting the use of more realistic and flexible representations.
The new formulation has also allowed us to separately analyze the
role of intra- and intermolecular potentials on the calculated rates
and properties.
Ab initio
intramolecular potentials
are indispensable for highly excited vibrational states, though the
Morse potential still gives reasonable values up to
v
= 20. An accurate description of the long-range interaction and
the van der Waals well is a requisite for the correct reproduction
of qualitative and quantitative rate coefficients, particularly at
low temperatures, making physically meaningful analytical representations
still the best choice compared to currently available
ab initio
potential energy surfaces. These settings were used to directly
compute the MQC rates corresponding to a large number of initial vibrational
quantum numbers, and the missing intermediate values were predicted
using a machine learning technique (
i.e.
, the Gaussian
process regression approach). The obtained values are reliable in
the wide temperature range employed and are therefore valuable data
for many communities dealing with nonlocal thermal equilibrium conditions
in different environments.