ArticleJournal of chemical theory and computation2024
Benchmark Study of Core-Ionization Energies with the Generalized Active Space-Driven Similarity Renormalization Group.
Article in Journal of chemical theory and computation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Accurate Core-Level Ionization Energies from an Affordable Second-Order Approach.Journal of chemical theory and computation · 2026Article
- Stochastic-SplitGAS: A Quantum Monte Carlo Multi-Reference Perturbation Theory Based on the Imaginary-Time Evolution of Effective Hamiltonians.Journal of chemical theory and computation · 2025Article
- Multireference Equation-of-Motion-Driven Similarity Renormalization Group for X-ray Photoelectron Spectra.Journal of chemical theory and computation · 2025Article
- An Improved Virtual Orbital Driven Similarity Renormalization Group Approach for Core-Ionized and Core-Excited States.Journal of chemical theory and computation · 2025Article
- A Cost-Effective Treatment of Spin-Orbit Couplings in the State-Averaged Driven Similarity Renormalization Group Second-Order Perturbation Theory.Molecules (Basel, Switzerland) · 2025Article
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Authors and funding
2 authors.
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Abstract
X-ray photoelectron spectroscopy (XPS) is a powerful experimental technique for probing the electronic structure of molecules and materials; however, interpreting XPS data requires accurate computational methods to model core-ionized states. This work proposes and benchmarks a new approach based on the generalized active space-driven similarity renormalization group (GAS-DSRG) for calculating core-ionization energies and treating correlation effects at the perturbative and nonperturbative levels. We tested the GAS-DSRG across three data sets. First, the vertical core-ionization energies of small molecules containing first-row elements are evaluated. GAS-DSRG achieves mean absolute errors below 0.3 eV, which is comparable to high-level coupled cluster methods. Next, the accuracy of GAS-DSRG is evaluated for larger organic molecules using the CORE65 data set, with the DSRG-MRPT3 level yielding a mean absolute error of only 0.34 eV for 65 core-ionization transitions. Insights are provided into the treatment of static and dynamic correlation, the importance of high-order perturbation theory, and notable differences from density functional theory in the predicted energy ordering of core-ionized states for specific molecules. Finally, vibrationally resolved XPS spectra of diatomic molecules (CO, N
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