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Record W4411621567 · doi:10.1063/5.0274763

Temperature dependence in the NEXAFS spectra of protonated and deuterated <i>N</i>-hexacontane isotopologues

2025· article· en· W4411621567 on OpenAlexafffund
Sadegh Shokatian, Zachary Arthur, Tom Regier, Stephen G. Urquhart

Bibliographic record

VenueThe Journal of Chemical Physics · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicX-ray Spectroscopy and Fluorescence Analysis
Canadian institutionsCanadian Light Source (Canada)Mira Geoscience (Canada)University of Saskatchewan
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIsotopologueXANESDeuteriumSpectral lineAbsorption (acoustics)ChemistrySpectroscopyDensity functional theoryAbsorption spectroscopyAtomic physicsMolecular physicsMaterials scienceAnalytical Chemistry (journal)Computational chemistryPhysicsOptics

Abstract

fetched live from OpenAlex

This paper examines the temperature dependence of the Near Edge X-ray Absorption Fine Structure (NEXAFS) spectra of protonated and deuterated n-hexacontane isotopologues. We observe a distinctive low-energy broadening in the characteristic C-H band with a change from cryogenic to ambient sample temperature. We model this temperature dependence with density functional theory simulations of the NEXAFS spectra, calculated for geometries obtained from ab initio molecular dynamics simulations. Our results show that thermally populated nuclear motion leads to peak broadening as the sample temperature increases but that this nuclear motion broadening has significant overlap with vibronic transitions. An improved understanding of thermal broadening mechanisms is essential for the use of NEXAFS spectroscopy for chemical microanalysis, particularly where cryogenic cooling is used to reduce radiation damage.

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 score0.038
Threshold uncertainty score0.252

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.249
Teacher spread0.244 · 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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