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Record W2741226596 · doi:10.1021/acs.jpca.7b04395

X-ray Absorption Spectroscopy of Aliphatic Organic Sulfides

2017· article· en· W2741226596 on OpenAlexafffund
Julien J. H. Cotelesage, Monica Barney, Linda Vogt, Ingrid J. Pickering, Graham N. George

Bibliographic record

VenueThe Journal of Physical Chemistry A · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Chemical Physics Studies
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsUniversity of SaskatchewanChevron
KeywordsSteric effectsSulfurAbsorption spectroscopySpectroscopyAbsorption (acoustics)ChemistryCrystallographyRing (chemistry)Density functional theoryAbsorption edgeChemical physicsComputational chemistryMaterials scienceStereochemistryOrganic chemistryBand gapPhysicsOptics

Abstract

fetched live from OpenAlex

Organic sulfides, sometimes called thioethers, are important in a variety of materials with diverse roles in biology and the environment. They also contribute a significant proportion of the sulfur in fossil fuels. We have studied a range of aliphatic sulfides using a combination of sulfur K-edge X-ray absorption spectroscopy and density functional theory calculations. We show that the sulfur K-edge near-edge X-ray absorption spectra of aliphatic organic sulfides comprise two intense transitions in the near-edge spectrum, which can be assigned as 1s → (S-C)σ* and 1s → (S-C)π* transitions. These transitions are found to change in a systematic manner in sterically hindered sulfides composed of four-, five- and six-membered rings. Both the 1s → (S-C)σ* and 1s → (S-C)π* transitions are sensitive to the presence of strain in the C-S-C angle, shifting to lower values with more strained ring systems. Steric effects can give obtuse C-S-C angles, which are predicted to cause the two transitions to converge to the same energy and even cross over at very obtuse angles.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.270
Teacher spread0.261 · 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 source (direct Gemma or distilled Codex), 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

Citations10
Published2017
Admission routes2
Has abstractyes

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