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Record W1992848001 · doi:10.1116/1.3071944

Reaction of a hydrogen-terminated Si(100) surface in UHV with ion-pump generated radicals

2009· article· en· W1992848001 on OpenAlexaff
Janik Zikovsky, Stanislav A. Dogel, Adam J. Dickie, Jason Pitters, Robert A. Wolkow

Bibliographic record

VenueJournal of Vacuum Science & Technology A Vacuum Surfaces and Films · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Chemical Physics Studies
Canadian institutionsNational Institute for NanotechnologyUniversity of Alberta
Fundersnot available
KeywordsRadicalHydrogenIonTorrChemistryFragmentation (computing)HeliumAnalytical Chemistry (journal)MoleculePhotochemistryAtomic physicsOrganic chemistry

Abstract

fetched live from OpenAlex

The authors present scanning tunneling microscopy images and mass spectra that show that dosing gases at pressures in the range of 10−6 Torr in an ion-pumped ultrahigh vacuum (UHV) chamber results in a measurable concentration of reactive molecular radicals and atomic hydrogen ions being created. One source of radicals is the fragmentation of the dosed molecule, while another is atomic hydrogen that is re-emitted from the ion pump itself. The dosing of noble gases such as helium also results in harmful radicals escaping the ion pump. These radicals are able to create new reactive sites on a hydrogen-terminated Si(100) surface; they show that these new dangling bonds result in extra molecular line growth in a 2,3-dimethyl-1,3-butadiene dosing experiment. These results serve as a cautionary note to experimenters working with ion-pumped UHV systems and surfaces that are sensitive to radicals, such as hydrogen-terminated Si.

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)0.000
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 score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.008
GPT teacher head0.255
Teacher spread0.247 · 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

Citations4
Published2009
Admission routes1
Has abstractyes

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