Non-adiabatic Ring Polymer Molecular Dynamics in the Phase Space of the
SU(N) Lie Group
- URL: http://arxiv.org/abs/2211.04330v1
- Date: Mon, 7 Nov 2022 16:46:46 GMT
- Title: Non-adiabatic Ring Polymer Molecular Dynamics in the Phase Space of the
SU(N) Lie Group
- Authors: Duncan Bossion, Sutirtha N. Chowdhury, and Pengfei Huo
- Abstract summary: We derive the spin mapping non-adiabatic RPMD (SM-NRPMD) approach in the phase space of the SU(N) Lie Group.
We numerically compute the Kubo-transformed position auto-correlation function and electronic population correlation function for three-state model systems.
We envision that the SM-NRPMD method will be a powerful approach to simulate electronic non-adiabatic dynamics and nuclear quantum effects accurately.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We derive the non-adiabatic ring polymer molecular dynamics (RPMD) approach
in the phase space of the SU(N) Lie Group. This method, which we refer to as
the spin mapping non-adiabatic RPMD (SM-NRPMD), is based on the spin-mapping
formalism for the electronic degrees of freedom (DOFs) and ring polymer
path-integral description for the nuclear DOFs. Using the Stratonovich-Weyl
transform for the electronic DOFs, and the Wigner transform for the nuclear
DOFs, we derived an exact expression of the Kubo-transformed time-correlation
function (TCF). We further derive the spin mapping non-adiabatic Matsubara
dynamics using the Matsubara approximation that removes the high frequency
nuclear normal modes in the TCF and derive the SM-NRPMD approach from the
non-adiabatic Matsubara dynamics by discarding the imaginary part of the
Liouvillian. The SM-NRPMD method has numerical advantages compared to the
original NRPMD method based on the MMST mapping formalism, due to a more
natural mapping using the SU(N) Lie Group that preserves the symmetry of the
original system. We numerically compute the Kubo-transformed position
auto-correlation function and electronic population correlation function for
three-state model systems. The numerical results demonstrate the accuracy of
the SM-NRPMD method, which outperforms the original MMST-based NRPMD. We
envision that the SM-NRPMD method will be a powerful approach to simulate
electronic non-adiabatic dynamics and nuclear quantum effects accurately.
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