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Record W4307979490 · doi:10.21203/rs.3.rs-2202310/v1

Ab initio studies on complexes of ozone with triatomic and larger molecules. 

2022· preprint· en· W4307979490 on OpenAlexafffund
Friedrich Grein

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsUniversity of New Brunswick
FundersAlliance de recherche numérique du Canada
KeywordsTriatomic moleculeDimerDissociation (chemistry)ChemistryOzoneAb initioMoleculeBond-dissociation energyAb initio quantum chemistry methodsHydrogen bondWater dimerAtomic physicsCrystallographyComputational chemistryPhysical chemistryPhysics

Abstract

fetched live from OpenAlex

Abstract Using coupled cluster methods with quadruple-zeta basis sets stable structures were found for complexes of ozone with common triatomic molecules as well as with ammonia and methane. The largest dissociation energy of 917 cm− 1 was obtained for the hydrogen bonded O3-NH3 complex, exceeding the value for O3-H2O (787 cm− 1). The high dissociation energy of the O3-NH3 complex is seen as an exception to the expected sequence of stabilities. Large dissociation energies were obtained also for O3-SO2 (717 cm− 1), O3-N2O (688 cm− 1), O3-HCN (659 cm− 1) and O3-CO2 (652 cm− 1). Dissociation energies for the C1 structure (559 cm− 1) and Ci structure (556 cm− 1) of the ozone dimer are nearly identical despite pronounced differences in geometries. Hydrogen bonding of HF, H2O, NH3 and CH4 with ozone is contrasted to hydrogen bonding with the oxygen molecule. Large shifts in vibrational frequencies were found for the ozone dimer, with a red shift of 51 cm− 1 and a blue shift of 25 cm− 1 for the antisymmetric stretching band of ozone. Larger frequency shifts are also seen for complexes of ozone with NH3, HCN, H2O and N2O.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.103
GPT teacher head0.376
Teacher spread0.272 · 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 designSimulation or modeling
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
Published2022
Admission routes2
Has abstractyes

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