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Record W4415225576 · doi:10.1039/d5cp02832a

The simulation of X-ray absorption spectra including vibronic coupling: application of the QD-DFT/MRCI(2) method

2025· article· en· W4415225576 on OpenAlexafffund
Martha Yaghoubi Jouybari, Simon P. Neville, Michael S. Schuurman

Bibliographic record

VenuePhysical Chemistry Chemical Physics · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicX-ray Spectroscopy and Fluorescence Analysis
Canadian institutionsNational Research Council CanadaUniversity of Ottawa
FundersNational Research Council CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsAnharmonicityVibronic couplingVibronic spectroscopyFormalism (music)Bilinear interpolationExcitationAbsorption spectroscopySpectral line

Abstract

fetched live from OpenAlex

the construction of vibronic coupling Hamiltonians, including anharmonicity through 6th-order in the one-mode terms, as well as bilinear two-mode coupling terms. The models include all vibronically-coupled core-excited states below the core-ionization potential: 24, 27, and 26 states of the C K-edge for ethylene, allene, and butadiene, respectively. These results, which furnish excellent agreement with recently measured X-ray absorption spectra, demonstrate the effectiveness of the QD-DFT/MRCI(2) method. Further, they highlight the importance of accounting for vibronic coupling in first principles simulation of X-ray absorption spectra. Specifically, we demonstrate that simulations constructed from best estimate vertical excitation energies and oscillator strengths alone generally fail to predict the positions of experimental peak maxima, particularly for transition energies above the band origin.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score0.650

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.305
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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