Javascript must be enabled to continue!
Exploring the Influence of Approximations for Simulating Valence Excited X-ray Spectra
View through CrossRef
First principles simulations of excited state X-ray spectra are becoming increasingly important to interpret the wealth of electronic and geometric information contained within femtosecond X-ray absorption spectra recorded at X-ray Free Electron Lasers (X-FELs). However, because the transition dipole matrix elements must be calculated between two excited states (i.e. the valence excited state and the final core-excited state arising from the initial valence excited state) of very different energies, this can be challenging and time-consuming to compute. Herein using two molecules, protonated formaldimine and cyclobutanone, we assess the ability of n-electron valence state perturbation theory (NEVPT2), equation-of-motion coupled cluster theory (EOM-CCSD), linear-response time-dependent density functional theory (LR-TDDFT) and the maximum overlap method (MOM) to describe excited state X-ray spectra. Our study focuses in particular on the behaviour of these methods away from the Franck-Condon geometry and in the vicinity of important topological features of excited-state potential energy surfaces, namely conical intersections. We demonstrate that the primary feature of excited state X-ray spectra is associated with the core electron filling the hole created by the initial valence excitation, a process that all the methods can capture. Higher-energy states are generally weaker and more sensitive to the nature of the reference electronic wavefunction. As molecular structures evolve away from the Franck-Condon geometry, changes in the spectral shape closely follow the underlying valence excitation, highlighting the importance of accurately describing the initial valence excitation to simulate the excited state X-ray absorption spectra.
Title: Exploring the Influence of Approximations for Simulating Valence Excited X-ray Spectra
Description:
First principles simulations of excited state X-ray spectra are becoming increasingly important to interpret the wealth of electronic and geometric information contained within femtosecond X-ray absorption spectra recorded at X-ray Free Electron Lasers (X-FELs).
However, because the transition dipole matrix elements must be calculated between two excited states (i.
e.
the valence excited state and the final core-excited state arising from the initial valence excited state) of very different energies, this can be challenging and time-consuming to compute.
Herein using two molecules, protonated formaldimine and cyclobutanone, we assess the ability of n-electron valence state perturbation theory (NEVPT2), equation-of-motion coupled cluster theory (EOM-CCSD), linear-response time-dependent density functional theory (LR-TDDFT) and the maximum overlap method (MOM) to describe excited state X-ray spectra.
Our study focuses in particular on the behaviour of these methods away from the Franck-Condon geometry and in the vicinity of important topological features of excited-state potential energy surfaces, namely conical intersections.
We demonstrate that the primary feature of excited state X-ray spectra is associated with the core electron filling the hole created by the initial valence excitation, a process that all the methods can capture.
Higher-energy states are generally weaker and more sensitive to the nature of the reference electronic wavefunction.
As molecular structures evolve away from the Franck-Condon geometry, changes in the spectral shape closely follow the underlying valence excitation, highlighting the importance of accurately describing the initial valence excitation to simulate the excited state X-ray absorption spectra.
Related Results
Exploring the Influence of Approximations for Simulating Valence Excited X-ray Spectra
Exploring the Influence of Approximations for Simulating Valence Excited X-ray Spectra
First principles simulations of excited state X-ray spectra are becoming increasingly important to interpret the wealth of electronic and geometric information contained within fem...
Arousal-driven interactions between reward motivation and categorization of emotional facial expressions
Arousal-driven interactions between reward motivation and categorization of emotional facial expressions
Reward motivation and emotion share common dimensions of valence and arousal, but the nature of interactions between the two constructs is relatively unclear. On the one hand, base...
Stoichiometric Valence and Structural Valence—Two Different Sides of the Same Coin: “Bonding Power”
Stoichiometric Valence and Structural Valence—Two Different Sides of the Same Coin: “Bonding Power”
AbstractTwo valencies instead of one! Stoichiometric valence and structural valence are two distinct properties of atoms. The former, stoichV, is derived from the composition of a ...
Exploring the Role of Valence in Conscious Perception: Insights from Similarity Judgments and Deep Learning Models
Exploring the Role of Valence in Conscious Perception: Insights from Similarity Judgments and Deep Learning Models
Recent theories claim that valence plays an important role in conscious perception (eg. Barrett & Bar, 2009). Inspired by these theories, we tested how valence judgments re...
Study of Eu 4f76snl Rydberg states
Study of Eu 4f76snl Rydberg states
The three-step two-color resonant ionization method and three-step three-color isolated-core excitation (ICE) technique are used to study the spectra of the highly excited bound st...
Simplified access of asteroid spectral data and metadata using classy
Simplified access of asteroid spectral data and metadata using classy
Remote-sensing spectroscopy is the most efficient observational technique to characterise the surface composition of asteroids within a reasonable timeframe. While photometry allow...
Early computation of valence: Garner interference between valence and hue in conscious perception of color
Early computation of valence: Garner interference between valence and hue in conscious perception of color
Barrett & Bar (2009) proposed that valence and other aspects of one’s affective response to stimuli could be processed in parallel with visual features such as color and sh...
Valence of auditory words enhances subsequent recognition and facilitates processing of written words: ERP and behavioral evidence.
Valence of auditory words enhances subsequent recognition and facilitates processing of written words: ERP and behavioral evidence.
The present study combined behavioral measures and EEG to investigate
the impact of emotional valence on both auditory and written word
processing. Participants were first presente...

