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Record W2087593077 · doi:10.1063/1.1383068

Reaction induced by a scanning tunneling microscope: Theory and application

2001· article· en· W2087593077 on OpenAlexaff
Saman Alavi, Tamar Seideman

Bibliographic record

VenueThe Journal of Chemical Physics · 2001
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsSteacie Institute for Molecular Sciences
Fundersnot available
KeywordsScanning tunneling microscopeDesorptionSiliconObservableQuantum tunnellingExcited stateYield (engineering)MicroscopeAtomic physicsTransition state theoryChemistryFoleyResonance (particle physics)Materials scienceAnalytical Chemistry (journal)Condensed matter physicsPhysicsNanotechnologyReaction rate constantOpticsPhysical chemistryQuantum mechanicsAdsorptionOptoelectronicsThermodynamicsKinetics

Abstract

fetched live from OpenAlex

We develop a theoretical framework for study of chemical dynamics induced by a scanning tunneling microscope. An analytically solvable limit of the expression derived for the reaction rate reveals the information content of the voltage dependence of the observable. The theory is applied to the problem of H-atom desorption from a silicon surface in the 4–10 V range, where desorption is triggered by a single electronic transition into a short-lived excited state localized on the H–Si bond. The resonance lifetime is extracted by fitting the numerical results to an observed desorption yield versus voltage curve [Foley et al., Phys. Rev. Lett. 80, 1336 (1998)].

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.005
GPT teacher head0.215
Teacher spread0.210 · 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

Citations21
Published2001
Admission routes1
Has abstractyes

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