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Record W1647034967 · doi:10.1063/1.1347964

Electron attachment to CF3Cl and CH3Cl on the surface and in the bulk of solid Kr

2001· article· en· W1647034967 on OpenAlexaff
K. Nagesha, I. I. Fabrikant, Léon Sanche

Bibliographic record

VenueThe Journal of Chemical Physics · 2001
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Chemical Physics Studies
Canadian institutionsUniversité de Sherbrooke
FundersNational Science Foundation
KeywordsElectronChemistryGas phaseIonMoleculeDopingAtomic physicsMaterials sciencePhysicsPhysical chemistryNuclear physicsOptoelectronics

Abstract

fetched live from OpenAlex

The formation of stable anions induced by the impact of 0–1.6 eV electrons on CF3Cl and CH3Cl condensed at the surface, and embedded within the bulk of solid Kr is investigated by measuring charging of the doped Kr films. Effects of the Pt substrate and under- and over-layer coverage of these molecules on the dissociative electron attachment and stable anion formation (SAF) are studied in detail by varying the film thickness and the position of the molecules within the film. Due to recent advances, we provide new and more reliable values of the absolute cross sections, σSAF, for SAF. σSAF reaches a maximum of 2.1×10−16 cm2 at 0.6 eV for CF3Cl embedded in solid Kr; for CH3Cl, this maximum is ∼10−16 cm2 at 0.2 eV. These values correspond to an enhancement of factors of 5 and 10, respectively, relative to σSAF measured at the surface. The electron energy dependence of σSAF is also evaluated theoretically from calculations performed with the R-matrix formalism extended to include the influence of condensed-matter environments. By incorporating into the theory the band structure of the solid and different values of the polarization induced into the medium by electron capture, we study the effect of these parameters on σSAF. Comparison between experimental and theoretical σSAF’s allows us to analyze the gas-phase parameters that must be modified to generate condensed-phase cross sections from gas-phase data and to discuss the effect of phenomena which are absent in the gas-phase (e.g., caging).

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 score0.196
Threshold uncertainty score0.275

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 head0.014
GPT teacher head0.288
Teacher spread0.274 · 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

Citations32
Published2001
Admission routes1
Has abstractyes

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