Target State Optimization with Density Functional Theory for Computing K-Edge X-ray Absorption Spectra

This study investigates the performance of Target State Optimization Density Functional Theory (TSO-DFT) in predicting molecular K-edge X-ray Absorption Spectra (XAS). In contrast to Time-Dependent Density Functional Theory (TDDFT), which systematically underestimates core excitation energies by more than 10 eV, TSO-DFT optimizes wave function for every state to account for orbital relaxation effects and can achieve an accuracy of subelectronvolts. We apply TSO-DFT to predict the K-edge XAS for which is critical for accurate predictions of core excitations. TSO-DFT is applied to predict XAS for CO<sub>2</sub>, N<sub>2</sub>O, carbonyl compounds, and radicals. TSO-DFT succeeds in predicting both the main features and core excitation energies. TSO-DFT is also used to predict the angle-dependent XAS of porphyrin and polarized XAS of the uranyl ion. The calculated XAS agrees quite well with experiments and can give details of electronic structure change that cannot be obtained straightforwardly from experiments alone. TSO-DFT is a promising method for studying molecular XAS and is available in the software Qbics, which can be downloaded free of charge.

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2026-02-17
DOI
https://doi.org/10.1021/acs.jctc.5c01819
Primary Topic
X-ray Spectroscopy and Fluorescence Analysis
Type
article
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article

Target State Optimization with Density Functional Theory for Computing K-Edge X-ray Absorption Spectra

Yangyi Lu, Jiali Gao, Jun Zhang, Zhu Hong
Journal of Chemical Theory and Computation
X-ray Spectroscopy and Fluorescence Analysis
article

Target State Optimization with Density Functional Theory for Computing K-Edge X-ray Absorption Spectra

Yangyi Lu, Jiali Gao, Jun Zhang, Zhu Hong
article en

Abstract

This study investigates the performance of Target State Optimization Density Functional Theory (TSO-DFT) in predicting molecular K-edge X-ray Absorption Spectra (XAS). In contrast to Time-Dependent Density Functional Theory (TDDFT), which systematically underestimates core excitation energies by more than 10 eV, TSO-DFT optimizes wave function for every state to account for orbital relaxation effects and can achieve an accuracy of subelectronvolts. We apply TSO-DFT to predict the K-edge XAS for which is critical for accurate predictions of core excitations. TSO-DFT is applied to predict XAS for CO<sub>2</sub>, N<sub>2</sub>O, carbonyl compounds, and radicals. TSO-DFT succeeds in predicting both the main features and core excitation energies. TSO-DFT is also used to predict the angle-dependent XAS of porphyrin and polarized XAS of the uranyl ion. The calculated XAS agrees quite well with experiments and can give details of electronic structure change that cannot be obtained straightforwardly from experiments alone. TSO-DFT is a promising method for studying molecular XAS and is available in the software Qbics, which can be downloaded free of charge.

Journal of Chemical Theory and ComputationVol. 22(5)
University of Minnesota System (US), Shenzhen Bay Laboratory (CN), Peking University Shenzhen Hospital (CN)
Affordable and clean energy
Openalex Percentile: Top 48%
X-ray Spectroscopy and Fluorescence Analysis
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