Consistent Construction of Density Matrix from Surface Hopping Trajectories

09 February 2024, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Proper construction of density matrix based on surface hopping trajectories remains a difficult problem. Due to the well-known overcoherence in traditional surface hopping simulations, the electronic wavefunction cannot be used directly. In this work, we propose a consistent density matrix construction method, which takes the advantage of occupation of active states to rescale the coherence calculated by wavefunctions and ensures the intrinsic consistency of density matrix. This new trajectory analysis method can be used for both Tully’s fewest switches surface hopping (FSSH) and our recently proposed branching corrected surface hopping (BCSH). As benchmarked in both one- and two-dimensional standard scattering models, the new approach combined with BCSH trajectories achieves highly accurate time-dependent spatial distributions of adiabatic populations and coherence compared with exact quantum results.

Keywords

Nonadiabatic Dynamics
Surface Hopping
Density Matrix

Supplementary materials

Title
Description
Actions
Title
Supporting Information for Consistent Construction of Density Matrix from Surface Hopping Trajectories
Description
We give the computational details, Hamiltonians of the investigated models, additional results for the one- and two-dimensional models, and supplementary figures.
Actions

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.