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An effective bath state approach to model infrared spectroscopy and intramolecular dynamics in complex molecules

Loïse Attal, Cyril Falvo, Pascal Parneix

TL;DR

The study advances the effective bath state (EBS) method for intra-molecular vibrational dynamics by incorporating polynomial couplings in the bath and enabling finite-temperature infrared spectroscopy. By coarse-graining the bath into a ladder of effective energy states and rigorously treating system–bath couplings, the approach captures non-Markovian dynamics and recurrences that arise from a finite environment. Benchmarking on a 10-mode model demonstrates accurate IR spectra and IVR behavior at multiple temperatures, and a detailed application to phenylacetylene shows good agreement with experiments while highlighting the importance of resonant pathways and higher-order bath couplings. Overall, the work provides a scalable framework to study vibronic dynamics and IR responses in complex molecules, with potential extensions to emission spectroscopy and higher-dimensional effective baths.

Abstract

When a molecule contains more than a few atoms, its full-dimensional dynamics becomes untractable, especially when introducing temperature effects. In such a case, it can be interesting to focus only on a few degrees of freedom and to model the rest of the molecule as a finite-dimensional bath. In this prospect, we extend the effective bath state (EBS) method that we had first developed and benchmarked in [J. Chem. Phys. \textbf{160}, 044107 (2024)] to describe the spectroscopy and intramolecular dynamics of complex isolated molecules. The EBS method is a system-bath approach based on the coarse-graining of the bath into a reduced set of effective energy states. It allows for a significant reduction of the bath dimension and makes finite-temperature calculations more accessible. In order to treat a realistic molecule, the method is extended to include polynomial couplings in the bath coordinates. The ability of the method to model temperature-resolved infrared spectra and to follow population transfers between the vibrational modes of the molecule is first tested on a 10-mode model system. The extended method is then applied to the realistic case of phenylacetylene.

An effective bath state approach to model infrared spectroscopy and intramolecular dynamics in complex molecules

TL;DR

The study advances the effective bath state (EBS) method for intra-molecular vibrational dynamics by incorporating polynomial couplings in the bath and enabling finite-temperature infrared spectroscopy. By coarse-graining the bath into a ladder of effective energy states and rigorously treating system–bath couplings, the approach captures non-Markovian dynamics and recurrences that arise from a finite environment. Benchmarking on a 10-mode model demonstrates accurate IR spectra and IVR behavior at multiple temperatures, and a detailed application to phenylacetylene shows good agreement with experiments while highlighting the importance of resonant pathways and higher-order bath couplings. Overall, the work provides a scalable framework to study vibronic dynamics and IR responses in complex molecules, with potential extensions to emission spectroscopy and higher-dimensional effective baths.

Abstract

When a molecule contains more than a few atoms, its full-dimensional dynamics becomes untractable, especially when introducing temperature effects. In such a case, it can be interesting to focus only on a few degrees of freedom and to model the rest of the molecule as a finite-dimensional bath. In this prospect, we extend the effective bath state (EBS) method that we had first developed and benchmarked in [J. Chem. Phys. \textbf{160}, 044107 (2024)] to describe the spectroscopy and intramolecular dynamics of complex isolated molecules. The EBS method is a system-bath approach based on the coarse-graining of the bath into a reduced set of effective energy states. It allows for a significant reduction of the bath dimension and makes finite-temperature calculations more accessible. In order to treat a realistic molecule, the method is extended to include polynomial couplings in the bath coordinates. The ability of the method to model temperature-resolved infrared spectra and to follow population transfers between the vibrational modes of the molecule is first tested on a 10-mode model system. The extended method is then applied to the realistic case of phenylacetylene.

Paper Structure

This paper contains 35 sections, 51 equations, 8 figures, 6 tables.

Figures (8)

  • Figure 1: Representation of the coarse-graining procedure of the bath for a model system containing four modes (mode 1 is the system). Left: Energy scale where the first three energy grains are indicated. Center: energy levels of the three harmonic bath modes with their respective frequencies $\omega_k$ and their maximum number of quanta $N_k$. Right: Transformation of the bath modes into a single ladder of effective energy states $\ket{m}$ (in blue). Individual microstates are represented in black inside the EES that contains them, with a label indicating the corresponding set of quantum numbers $\left(n_2,n_3,n_4\right)$. The number $\rho(m)\Delta E$ of microstates in each EES is also indicated. One specific bath state with one quantum of energy in mode 2 and one in mode 4 is highlighted in green. The position of the associated microstate $\left(1,0,1\right)$ is represented in green inside the effective state ladder. As shown in grey, its position is obtained by summing the energies of the individual bath modes. The coarse-graining procedure allows the basis set size to drop from $N_2\times N_3\times N_4$ microstates to a much smaller number $M$ of effective states.
  • Figure 2: Illustration of possible transitions involving two bath modes $j$ and $k$, with frequencies $\omega_j > \omega_k$. Left: a combination band where modes $j$ and $k$ both gain one quantum of energy, leading to a transition energy $\hbar\omega_j+\hbar\omega_k$. Right: a difference band where mode $j$ gains one quantum of energy while mode $k$ loses one, leading to a transition energy $\hbar\omega_j-\hbar\omega_k$.
  • Figure 3: Absorption spectra of the 10-mode model system in the spectral region of the mode of interest, obtained at 0, 300 and 600 K. The EBS and full-dimensional results are superimposed in red and black, respectively. Both spectra have been re-normalized to have the same maximal intensity. The system transitions $v \to v'$ are denoted as (S)$_{v,v'}$. The transitions $n_k \to n'_k$ of a given bath mode $k$ are denoted as (B$_k$)$_{n_k,n_k'}$. When there are several bath hot bands involved in a feature, it is denoted as (B)$_{\rm h.b.}$. In the upper panel, the mode of interest harmonic ($\omega_h$) and fundamental ($\omega_{01}$) frequencies are indicated by vertical dashed lines.
  • Figure 4: Time-evolution of the 10-mode model system starting from $\ket{v = 1, m = 0}$. (a) Evolution of the population in the vibrational states of the mode of interest $i_0 =3$. (b) Evolution of the population in the effective bath states, labeled by their energy. The bath contains all the modes except $i_0$. All the bath states gaining at least 1% population are labeled. In both panels, the full-dimensional results are shown as thick brown lines.
  • Figure 5: Time-evolution of the population in (a) the first excited state of the mode of interest, and (b) its second excited state, for bath temperatures ranging from 100 K to 600 K. In panel (a), the inset emphasizes the half-life times obtained at different temperatures, i.e., the time at which the population in $v = 1$ drops below 50%.
  • ...and 3 more figures