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Record W2949245341 · doi:10.1021/jp004197t

Gas-Phase Chemistry of Bare V<sup>+</sup> Cation with Oxygen and Water at Room Temperature:  Formation and Hydration of Vanadium Oxide Cations

2001· article· en· W2949245341 on OpenAlexaff
Gregory K. Koyanagi, Diethard K. Böhme, Ilona Kretzschmar, Detlef Schröder, Helmut Schwarz

Bibliographic record

VenueThe Journal of Physical Chemistry A · 2001
Typearticle
Languageen
FieldChemical Engineering
TopicCatalysis and Oxidation Reactions
Canadian institutionsYork University
Fundersnot available
KeywordsChemistryVanadiumThermochemistryMoleculeOxygenInorganic chemistryVanadium oxidePhysical chemistryPhase (matter)Density functional theoryAb initioComputational chemistry

Abstract

fetched live from OpenAlex

Mass spectrometric experiments at extremely low (<10 -6 mbar) and moderate (0.5 mbar) pressures are used to examine the reactions of atomic vanadium cation with molecular oxygen and water. With O 2, rapid O-atom abstraction gives rise to the formation of VO + cation ( k = 3 × 10 -10 cm 3 molecule -1 s -1 ). Interestingly, despite a similar thermochemistry, the O-atom transfer from water to bare V + is less efficient by more than an order of magnitude ( k = 8 × 10 -12 cm 3 molecule -1 s -1 ). Subsequent associations of VO + with either O 2 or H 2 O occur with very low efficiencies and involve termolecular stabilization mechanisms. The low probability of degenerate 16 O/ 18 O exchange between VO + and water indicates the operation of a sizable kinetic barrier. Ab initio calculations using density functional theory lend further support to the interpretation of the experimental data and provide the first thermochemical information on VO n + cations with n > 2, as well as some hydrated species. In general, the dipolar water ligand is found to be much more strongly bound to the cationic vanadium complexes than is dioxygen.

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 score0.005

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 head0.005
GPT teacher head0.210
Teacher spread0.205 · 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

Citations73
Published2001
Admission routes1
Has abstractyes

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