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Record W2094662574 · doi:10.1139/p03-006

The effect of HCl adsorption on the structure and dynamics of the ice surface

2003· article· en· W2094662574 on OpenAlexvenueno aff
J. Suzanne, Daniel Ferry, Benjamin Demirdjian, C. Giŗardet, Céline Toubin, Sylvain Picaud, P.N.M. Hoang

Bibliographic record

VenueCanadian Journal of Physics · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topicnanoparticles nucleation surface interactions
Canadian institutionsnot available
Fundersnot available
KeywordsMonolayerAdsorptionAmorphous iceAmorphous solidNeutron diffractionContext (archaeology)Melting pointAtmospheric temperature rangeNeutron scatteringDiffractionPhysicsScatteringChemical physicsCrystallographyMaterials sciencePhysical chemistryChemistryThermodynamicsNanotechnologyOpticsGeology

Abstract

fetched live from OpenAlex

Neutron diffraction and quasi-elastic neutron scattering experiments together with molecular dynamics simulations were performed to investigate the effect of HCl adsorption in the sub-monolayer range on the structure and dynamics of a thin ice Ih film deposited on a MgO (100) substrate. We show that surface melting occurs in the supported pure-ice film down to about 8 K below the normal melting temperature of bulk ice Ih. Upon HCl adsorption, the surface melting temperature is still lowered by 15 K at HCl amounts corresponding to 0.3 and 0.6 monolayer. Results of simulations can satisfactorily interpret the lowering of the melting temperature due to the support and to HCl adsorption. Upon adsorption of one HCl monolayer, HCl dihydrate is formed at 220 K and the film becomes amorphous at 250 K. The results are discussed within the context of stratospheric and upper tropospheric/lower stratospheric chemistry. PACS Nos.: 68.55-a, 61.12-q, 31.15Qg, 82.33Tb

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.006
GPT teacher head0.188
Teacher spread0.182 · 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 designObservational
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
Published2003
Admission routes1
Has abstractyes

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