# Single-Hessian thawed Gaussian approximation: The missing rung on the   ladder

**Authors:** Tomislav Begu\v{s}i\'c, Manuel Cordova, Ji\v{r}\'i Van\'i\v{c}ek

arXiv: 1901.10769 · 2024-09-26

## TL;DR

This paper introduces a computationally efficient single-Hessian thawed Gaussian approximation for molecular spectra that maintains energy conservation and performs comparably to more expensive methods, improving semiclassical simulations.

## Contribution

The paper presents a novel single-Hessian thawed Gaussian method that conserves energy and approximates potential Hessians with a constant matrix, enhancing efficiency in semiclassical calculations.

## Key findings

- Performs nearly as well as on-the-fly ab initio methods
- Significantly better than global harmonic schemes
- Conserves energy exactly despite time-dependent Hamiltonian

## Abstract

To alleviate the computational cost associated with on-the-fly ab initio semiclassical calculations of molecular spectra, we propose the single-Hessian thawed Gaussian approximation, in which the Hessian of the potential energy at all points along an anharmonic classical trajectory is approximated by a constant matrix. The spectra obtained with this approximation are compared with the exact quantum spectra of a one-dimensional Morse potential and with the experimental spectra of ammonia and quinquethiophene. In all cases, the single-Hessian version performs almost as well as the much more expensive on-the-fly ab initio thawed Gaussian approximation and significantly better than the global harmonic schemes. Remarkably, unlike the thawed Gaussian approximation, the proposed method conserves energy exactly, despite the time dependence of the corresponding effective Hamiltonian, and, in addition, can be mapped to a higher-dimensional time-independent classical Hamiltonian system. We also provide a detailed comparison with several related approximations used for accelerating prefactor calculations in semiclassical simulations.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1901.10769/full.md

## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/1901.10769/full.md

## References

83 references — full list in the complete paper: https://tomesphere.com/paper/1901.10769/full.md

---
Source: https://tomesphere.com/paper/1901.10769