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Record W2160920978 · doi:10.1039/b700111h

Vibrational exciton coupling in pure and composite sulfur dioxide aerosols

2007· article· en· W2160920978 on OpenAlexafffund
Ruth Signorell, Martin Jetzki

Bibliographic record

VenueFaraday Discussions · 2007
Typearticle
Languageen
FieldChemistry
TopicSpectroscopy and Laser Applications
Canadian institutionsUniversity of British Columbia HospitalUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSulfur dioxideExcitonCoupling (piping)Composite numberChemical physicsSulfurMaterials scienceChemistryPhysicsInorganic chemistryCondensed matter physicsComposite materialMetallurgy

Abstract

fetched live from OpenAlex

Icy aerosol particles determine weather processes in planetary atmospheres and are discussed as sites of chemical reactions in interstellar dust. One of the interesting ice systems in this context are pure and composite SO2 particles. Vibrational exciton coupling is exploited in the present study to understand the properties of SO2 aerosol particles from their infrared spectroscopic signatures. The condensation to pure SO2 ice particles leads to a partially amorphous structure of the particles, whose infrared spectra do not show pronounced shape effects. The simultaneous condensation of SO2 and CO2 gas results in aerosol particles with a core-shell structure. Icy SO2 forms the core, whereas CO2 remains in the shell. This structure is mainly determined by the different thermodynamic properties of the two substances and the less favorable intermolecular interactions between SO2 and CO2 compared with the pure substances. The example of mixed sulfur dioxide/ammonia particles demonstrates that nanosized aerosol particles are ideal nanoreactors. They facilitate an easy homogeneous mixture of the reactants providing an interface-free reaction environment.

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 score0.239
Threshold uncertainty score0.453

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 integrity0.0000.000
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 head0.267
Teacher spread0.257 · 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

Citations21
Published2007
Admission routes2
Has abstractyes

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