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Record W2120734159 · doi:10.1109/icmens.2004.1508906

Structure and Stability of Self-Assembled Monolayers for Octadecanethiol Adsorbed onto Flame-Annealed Gold Substrate and Its Potential Application to Microfluidics

2006· article· en· W2120734159 on OpenAlexaff
Jingmin Han, Xiaodong Wang, Daniel Y. Kwok

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMonolayerAdsorptionWettingFourier transform infrared spectroscopyMaterials scienceMicrofluidicsSelf-assembled monolayerAnnealing (glass)NanotechnologyChemical engineeringEllipsometrySurface modificationContact angleSubstrate (aquarium)Surface energyChemistryThin filmOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

Self-Assembled Monolayers (SAMs) derived from the adsorption of organothiols onto gold have been extensively investigated for studying their potential applications to Micro- and Nanofluidics system. However, nearly all applications rely on SAMs' stability. Because high energy gold is easy to absorb organic contaminant from ambient, totally wetting gold surface can not be obtained in the laboratory environment. Flame annealing the gold surface before adsorption not only remove the organic contaminant, it also shaves the "rolling hills" on the evaporated gold surface. SAMs formed on annealed gold surface have better structure and stability than those formed on evaporated gold. These properties will be helpful for potential application on microfluidics system as a surface modification. Ex situ spectroscopic ellipsometry, and Fourier Transform Infrared (FTIR) were used to characterize the structure of SAMs.

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 score0.002

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 head0.004
GPT teacher head0.192
Teacher spread0.189 · 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

Citations3
Published2006
Admission routes1
Has abstractyes

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