Invariance of quantum scattering rate coefficients to anisotropy of atom-molecule interactions
Xuyang Guo, Kirk W. Madison, James L. Booth, Roman V. Krems
TL;DR
The paper tackles the high computational cost of quantum scattering in atom–molecule systems by testing whether thermally averaged total rate coefficients κ_tot(T) are invariant to PES anisotropy. It combines rigorous close-coupling calculations for Rb–N$_2$ and Rb–H$_2$ with Gaussian process regression to map κ_tot onto a five-parameter PES space, including short- and long-range anisotropy terms. The authors show that κ_tot is invariant to both short-range anisotropy (varying D_e,λ) and long-range anisotropy (varying γ) within percent-level changes, and that Maxwell–Boltzmann averaging coupled with elastic–inelastic compensation explains this robustness. The practical implication is a substantial reduction in computational effort: total rates can be accurately computed from isotropic PES using a single uncoupled differential equation, benefiting metrology and related applications where precise collision rates are essential.
Abstract
Quantum scattering calculations for strongly interacting molecular systems are computationally demanding due to the large number of molecular states coupled by the anisotropy of atom - molecule interactions. We demonstrate that thermal rate coefficients for total (elastic + inelastic) atom - molecule scattering are insensitive to the interaction anisotropy of the underlying potential energy surface. In particular, we show that the rate coefficients for Rb-H$_2$ and Rb-N$_2$ scattering at room temperature can be computed to 1% accuracy with anisotropy set to zero, reducing the complexity of coupled channel quantum scattering calculations to numerical solutions of a single differential equation. Our numerical calculations and statistical analysis based on Gaussian process regression elucidate the origin and limitations of the invariance of the total scattering rate coefficients to changes in atom - molecule interaction anisotropy.
