Improved description of environment and vibronic effects with electrostatically embedded ML potentials

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

Abstract

Incorporation of environment and vibronic effects in simulations of optical spectra and excited state dynamics is commonly done combining molecular dynamics with excite state calculations, which allows to estimate the spectral density describing the frequency-dependent system-bath coupling strength. The need for efficient sampling, however, usually leads to the adoption of classical force fields, despite well-known inaccuracies due to the mismatch with the excited state method. Here we present a multiscale strategy that overcomes this limitation by combining EMLE simulations based on electrostatically embedded ML potentials with the QM/MMPol polarizable embedding model to compute the excited states and spectral density of 3-methyl-indole, the chromophoric moiety of tryptophan that mediates a variety of important biological functions. Our protocol provides highly accurate results that faithfully reproduce their ab initio QM/MM counterparts, thus paving the way for accurate investigations on the interrelation between the timescales of biological motion and the photophysics of tryptophan and other biosystems.

Keywords

QM/MM
ML/MM
Vibronic effects
Machine learning potentials
EMLE
ANI-2x

Supplementary materials

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Supporting Information
Description
The Supporting Information includes: figures of autocorrelation functions and spectral densities from TD-ωB97X and TD-B3LYP calculations, figure and table with TD-B3LYP excitation energies, transition dipoles, and corresponding errors.
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