MétaCan
Menu
Back to cohort
Record W3195975762 · doi:10.1088/1361-648x/ac1ec5

Long-range migration of H-atoms from electron-induced dissociation of HS on Si(111)

2021· article· en· W3195975762 on OpenAlexafffund
Oliver MacLean, Si Yue Guo, Matthew J. Timm, J. C. Polanyi

Bibliographic record

VenueJournal of Physics Condensed Matter · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Chemical Physics Studies
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of TorontoCompute Canada
KeywordsDissociation (chemistry)ElectronRange (aeronautics)Materials scienceAtomic physicsChemistryChemical physicsPhysicsPhysical chemistryNuclear physicsComposite material

Abstract

fetched live from OpenAlex

Abstract The electron-induced dissociation of chemisorbed HS to give recoiling H-atoms was investigated on a Si(111)-7 × 7 surface at 270 K by scanning tunnelling microscopy and modelled by density functional theory. Two different H-atom migratory pathways were identified: ‘short-range’ (S‐R; 37%) and ‘long-range’ (L‐R; 42%). In S‐R reaction the H-atom recoiled by only 4 Å whereas in L‐R the average H-recoil distance was 17 Å extending up to 72 Å. Chemisorbed H-atoms were not detected in the remaining 22% of dissociative events. Excitation involved three successive events, e − + HS. Molecular dynamics calculations of S‐R and L‐R recoil of H-atoms were performed using a model based on electron-induced H ⋅ S repulsion. In S‐R the repulsion gave the H-atom sufficient energy to dissociate HS, but not enough to result in capture of the H-atom by the adjacent rest Si-atom. In L‐R a higher translational energy of the recoiling H, above 0.2 eV, caused the H-atom to ‘bounce’ off surface atoms and migrate L‐R. The finding that H-atom L‐R migration followed the ballistics and ‘bounce’ mechanism is indicative of the generality of this mode of L‐R recoil.

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 score0.002
Threshold uncertainty score0.007

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)0.0020.000

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 head0.010
GPT teacher head0.253
Teacher spread0.243 · 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
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Physics Condensed MatterSame topicAdvanced Chemical Physics StudiesFrench-language works237,207