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Record W3195765875 · doi:10.33774/chemrxiv-2021-7z76q

Mechanism of Ammonia Oxidation to Dinitrogen, Nitrite, and Nitrate on 𝛽-Ni(OH)2 from First-Principles Simulations

2021· preprint· en· W3195765875 on OpenAlexafffund
Rachelle M. Choueiri, Stephen W. Tatarchuk, Anna Klinkova, Leanne D. Chen

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldChemical Engineering
TopicAmmonia Synthesis and Nitrogen Reduction
Canadian institutionsUniversity of WaterlooUniversity of Guelph
FundersWaterloo Institute for Nanotechnology, University of WaterlooNatural Sciences and Engineering Research Council of CanadaCanada Research Coordinating CommitteeOntario Research FoundationCanada Foundation for InnovationCompute CanadaUniversity of Waterloo
KeywordsChemistryNitriteNitrateAmmoniaCatalysisInorganic chemistryElectrocatalystAmmonia productionDeprotonationPhotochemistryOrganic chemistryElectrochemistryElectrodePhysical chemistryIon

Abstract

fetched live from OpenAlex

The electrocatalyzed ammonia oxidation reaction (AOR) is a potential pathway toward waste ammonia remediation, energy generation, and the synthesis of value- added products. To date, mechanistic studies have focused on elucidating the progress of AOR on Pt-based catalysts with an established pathway for N2 only. In this work, density functional theory was applied to determine the lowest energy intermediates towards nitrogen gas, nitrite, and nitrate formation on 𝛽-Ni(OH)2, a promising electrocatalyst material for AOR. It was found that dinitrogen formation progresses via NH-NH coupling while nitrite and nitrate formation occurs via deprotonation to adsorbed N and subsequent hydroxylation to form oxygenated intermediates. This work is the first to report a mechanism for nitrite and nitrate formation and will also serve as a benchmark for future studies on Ni-based materials.

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 categoriesMeta-epidemiology (narrow)
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 score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.033
GPT teacher head0.247
Teacher spread0.214 · 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.

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

Citations2
Published2021
Admission routes2
Has abstractyes

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