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Record W2094760770 · doi:10.1039/b110353a

A scanning probe study of some short chain self-assembled alkylsilane films

2002· article· en· W2094760770 on OpenAlexafffund
Jingxin Li, J. Hugh Horton

Bibliographic record

VenueJournal of Materials Chemistry · 2002
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNanoindentationMicaMonolayerScanning Force MicroscopyAtomic force microscopyMaterials scienceScanning electron microscopeChemical engineeringSelf-assembled monolayerScanning probe microscopyDeposition (geology)NanotechnologySelf-assemblyMicroscopyComposite materialOptics

Abstract

fetched live from OpenAlex

Trichloroalkylsilanes readily form self-assembled monolayers (SAMs) on mica surfaces. The present work uses scanning probe methods (atomic force microscopy (AFM), chemical force microscopy (CFM) and nanoindentation) to study aspects of the assembly process and the properties of some short chain forms of these self-assembled monolayers. The deposition of propyltrichlorosilane (CH3CH2CH2SiCl3, PTS) and allyltrichlorosilane (H2CCHCH2SiCl3, ATS) at varying temperatures (−78 °C to +25 °C) on mica substrates has been examined. The ATS films were subsequently modified by oxidation to form a –COOH terminated species. These films were characterized by chemical force microscopy using functionalized tips at varying pH values. In addition, nanoindentation was utilized to study the Young's modulus and hardness of the films. We find that at low deposition temperatures, smooth overlayers of these short chain films are formed, without the formation of polymerised aggregates that are seen at higher temperatures. The surface ordering also appears to be higher under these conditions. The surface pKa of the oxidized ATS is larger than that of the longer chain analogue previously characterised by chemical force microscopy. Nanoindentation can readily distinguish between ordered and polymerised aggregates on the surface.

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 score0.001
Threshold uncertainty score0.548

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)0.0010.000

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 head0.202
Teacher spread0.194 · 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

Citations10
Published2002
Admission routes2
Has abstractyes

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