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Record W4362657559 · doi:10.1021/acs.inorgchem.3c00092

Conversion of Dinitrogen and Oxygen to Nitric Oxide Mediated by Triatomic Yttrium Cations: Reversible N–N Bond Switching

2023· article· en· W4362657559 on OpenAlexaff
Yongqi Ding, Fei Ying, Ying Li, Jing Xie, Jia‐Bi Ma

Bibliographic record

VenueInorganic Chemistry · 2023
Typearticle
Languageen
FieldChemical Engineering
TopicAmmonia Synthesis and Nitrogen Reduction
Canadian institutionsMinistry of Education and Child Care
FundersNatural Science Foundation of Beijing MunicipalityNational Natural Science Foundation of China
KeywordsChemistryMoleculeBond cleavageOxygenYttriumNitric acidPhotochemistryInorganic chemistryMetalOxideCrystallographyCatalysisOrganic chemistry

Abstract

fetched live from OpenAlex

The direct coupling of dinitrogen (N 2 ) and oxygen (O 2 ) to produce value-added chemicals such as nitric acid (HNO 3 ) at room temperature is fascinating but quite challenging because of the inertness of N 2 molecules. Herein, an interesting reaction pathway is proposed for a direct conversion of N 2 and O 2 mediated by all-metal Y 3 + cations. This reaction pattern begins with the N≡N triple bond cleavage by Y 3 + to generate a dinitride cation Y 2 N 2 +, and the electrons that lead to N 2 activation in this process mainly originate from Y atoms. In the following consecutive reactions with two O 2 molecules, the electrons stored in the N atoms are gradually released to reduce O 2 through re-formation and re-fracture of the N–N bonds, with concomitant release of two NO molecules. Therefore, the reversible N–N bond switching acts as an efficient electron reservoir to drive the oxidation of the reduced N atoms, leading to the formation of NO molecules. This method of producing NO by direct coupling N 2 and O 2 molecules, which is the reversible N–N bond switching, may provide a new strategy for the direct synthesis of HNO 3, etc.

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 score0.004
Threshold uncertainty score0.701

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.212
Teacher spread0.203 · 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

Citations6
Published2023
Admission routes1
Has abstractyes

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