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Record W2027730388 · doi:10.1063/1.1318200

The effects of temperature and morphology on electron transmission and stimulated desorption of H− from thin hydrocarbon films

2000· article· en· W2027730388 on OpenAlexaff
A. D. Bass, L. Parenteau, F. Weik, Léon Sanche

Bibliographic record

VenueThe Journal of Chemical Physics · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpectroscopy and Quantum Chemical Studies
Canadian institutionsUniversité de Sherbrooke
FundersMedical Research Council
KeywordsSublimation (psychology)DesorptionCrystallizationThin filmAnalytical Chemistry (journal)Amorphous solidBenzeneActivation energyDissociation (chemistry)Spectral lineChemistryIonMaterials sciencePhotochemistryCrystallographyPhysical chemistryOrganic chemistryAdsorptionNanotechnology

Abstract

fetched live from OpenAlex

We have measured for the 0–20 eV incident energy range, the low-energy electron transmission (LEET) spectra and electron stimulated desorption (ESD) yields of H− from pure films of n-hexane and ethyl-benzene from 20 K to sublimation. The ESD yields from both dissociative electron attachment and dipolar dissociation initially increase as the films are heated. This effect is attributed to the collapse of pores within the films. For n-hexane, a marked decrease in ESD yields is observed at film temperatures ⩾80 K, which correlates to the onset of crystallization as evidenced in LEET spectra. This decrease in anion yield is associated with the formation of a well-defined band structure that reduces the time period an excitation and/or electron resides on a particular molecule. This behavior in the ESD yields from ethyl-benzene films is not observed prior to sublimation in agreement with LEET spectra which show negligible change with film temperature indicating that there is no change of phase prior to sublimation (i.e., the film remains amorphous at all 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 score0.001
Threshold uncertainty score0.003

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.003
GPT teacher head0.219
Teacher spread0.215 · 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

Citations13
Published2000
Admission routes1
Has abstractyes

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