Evidence map›Paper›PMID 40960096›Full record

ArticleThe journal of physical chemistry. A2025

Resonant Inelastic X-ray Scattering: How Well Does LR-TDDFT Perform?

Erik Vitols, Vinícius Vaz da Cruz, Thomas Fransson, Iulia Emilia Brumboiu

Abstract read
In one paragraph

Article in The journal of physical chemistry. A, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Erik VitolsFaculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Toruń, 87-100 Toruń, Poland.
Vinícius Vaz da CruzHelmholtz-Zentrum Berlin für Materialien und Energie, Institute for Methods and Instrumentation for Synchrotron Radiation Research, Albert-Einstein-Strasse 15, D-12489 Berlin, Germany.ORCID 0000-0001-9696-2498
Thomas FranssonIndependent Researcher, Stockholm111 64, Sweden.ORCID 0000-0002-3770-9780
Iulia Emilia BrumboiuFaculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Toruń, 87-100 Toruń, Poland.ORCID 0000-0003-1671-8298

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resonant inelastic X-ray scattering (RIXS) is one of the most information-rich spectroscopic techniques, uniquely capable of probing excited states through their dependence on momentum, energy, and polarization. However, the inherent difficulty in interpreting RIXS signals underlines the critical need for accurate and efficient spectral calculations to facilitate their understanding. While hierarchical wave function-based methods such as the algebraic diagrammatic construction (ADC) scheme for the polarization propagator have shown promising results in the calculation of RIXS spectra, they remain computationally demanding. To enable fast and efficient RIXS calculations, we evaluate the performance of linear-response time-dependent density functional theory (LR-TDDFT). Two LR-TDDFT approaches are investigated: the restricted-subspace approximation, which uses a subset of occupied and virtual orbitals to compute the valence-excited and selected core-excited states at the same time, and the two-shot LR-TDDFT approach, where the core- and valence-excited states are calculated independently. We benchmark a range of functionals─including global hybrid, range-separated, and tailored range-separated variants─on a set of small molecules using ADC as the reference. We find that all range-separated hybrids and most global hybrid functionals exhibit good agreement with the reference across all metrics. Furthermore, we demonstrate the applicability of LR-TDDFT by computing the RIXS spectrum of C

Identifiers

PMID40960096
PMCPMC12478873

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.