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Record W4411874233 · doi:10.1021/acs.jpca.5c03008

Experimental and Theoretical Study of the Kinetics of Dimerization of Ammonia at Low Temperatures

2025· article· en· W4411874233 on OpenAlexaboutno aff
Lok Hin Desmond Li, Kevin M. Douglas, Alice Kirker, Luke Driver, Gregory de Boer, Nikil Kapur, Julia H. Lehman, Mark A. Blitz, Dwayne E. Heard

Bibliographic record

VenueThe Journal of Physical Chemistry A · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsnot available
FundersH2020 European Research CouncilNational Centre for Atmospheric ScienceUniversity of LeedsEngineering and Physical Sciences Research CouncilEuropean CommissionScience and Technology Facilities Council
KeywordsChemistryDimerMoleculeExcited stateKineticsHeliumAtomic physicsPhysical chemistryAnalytical Chemistry (journal)Physics

Abstract

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High Resolution Image Download MS PowerPoint Slide The kinetics of the dimerization of NH 3 in helium and nitrogen bath gas within the supersonic flow of a Laval nozzle were investigated at very low temperatures. Experimentally, the fraction of the NH 3 monomer, f monomer, remaining in the flow at 91 K in N 2 and at 35 K in He for a total bath gas density [M]∼5 × 10 16 molecules cm –3 was monitored using fluorescence from the electronically excited NH 2 photofragment formed following NH 3 photolysis at 213 nm. No dimerization was observed up to [NH 3 ] = 1 × 10 15 molecules cm –3 for 160 mm downstream of the 91 K N 2 nozzle, nor up to [NH 3 ] = 5 × 10 14 molecules cm –3 for 150 mm downstream of the 35 K He nozzle. Dimerization was observed at higher [NH 3 ], being more pronounced at lower temperatures. For the C s and C 2h conformers of the NH 3 dimer, calculations at the CCSD(T)/aug-cc-pVTZ level gave a zero-point vibrational-energy corrected binding energy of −7.52 and −7.33 kJ mol –1, respectively. Energy-grained master equation calculations based on statistical rate theory using the open-source MESMER package were used to calculate rate coefficients for dimerization, k dimer, over the temperature range T = 25–300 K and [M] = 10 13 –10 22 molecules cm –3 for He and N 2 . k dimer displayed a negative T dependence and a positive [M] dependence and was found to be sensitive to changes in the low-lying vibrational frequencies of the NH 3 dimer, for example, the inclusion of a hindered rotor potential for the internal twisting mode, which alters the density of states. Using the axial profiles of T, [M], and velocity for the Laval nozzles, the calculated values of k dimer were used to calculate f monomer in the flow for comparison with the experiment. At higher [NH 3 ], when dimerization was observed, the calculations significantly underestimated the degree of dimerization taking place in the flow, with a significant increase in the calculated value of k dimer required to match the experiment. The reasons for the discrepancy are discussed, for example, errors in the calculation of the density of states for the NH 3 dimer and the average energy removed per collision by the bath gas at very low temperatures.

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)0.001
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.004
GPT teacher head0.216
Teacher spread0.212 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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