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Record W2032101998 · doi:10.1063/1.1526459

“Gentle lithography” with benzene on Si(100)

2002· article· en· W2032101998 on OpenAlex
Peter Kruse, Robert A. Wolkow

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueApplied Physics Letters · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicForce Microscopy Techniques and Applications
Canadian institutionsSteacie Institute for Molecular Sciences
Fundersnot available
KeywordsLithographyScanning tunneling microscopeBenzeneEtching (microfabrication)FerroceneMaterials scienceNanolithographyDesorptionNanotechnologyMoleculeOptoelectronicsAnalytical Chemistry (journal)ChemistryAdsorptionFabricationPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

A scanning tunneling microscopy (STM) based nanolithographic method has been demonstrated. The previously reported tip-induced desorption of benzene from Si(100) was utilized to pattern the surface with close to atomic precision. This kind of lithography can take place under very mild conditions. Writing occurs with a STM tip bias of 2.8 V. No heating, etching, or exposure to photons is required. The method is best suited for small to medium sized molecules and can be said to be reliable for resolutions of 2 nm and above. In this letter, we have demonstrated patterning areas of the surface with ethylene and vinyl ferrocene.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score0.788

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 head0.010
GPT teacher head0.220
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