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Record W2149149176 · doi:10.1021/jp049501n

STM Study of Terephthalic Acid Self-Assembly on Au(111):  Hydrogen-Bonded Sheets on an Inhomogeneous Substrate

2004· article· en· W2149149176 on OpenAlexaff
Sylvain Clair, Stéphane Pons, Ari P. Seitsonen, Harald Brune, Klaus Kern, Johannes V. Barth

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2004
Typearticle
Languageen
FieldEngineering
TopicSurface Chemistry and Catalysis
Canadian institutionsUniversity of British Columbia
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsTerephthalic acidScanning tunneling microscopeSupramolecular chemistryMoleculeHydrogen bondSubstrate (aquarium)CrystallographyAb initioAdsorptionAb initio quantum chemistry methodsMaterials scienceHydrogenMolecular self-assemblyChemistrySelf-assemblyNanotechnologyChemical physicsPhysical chemistryOrganic chemistryPolyester

Abstract

fetched live from OpenAlex

The adsorption and ordering of the molecule terephthalic acid (TPA), 1,4-benzene-dicarboxylic acid C 6 H 4 (COOH) 2, on the reconstructed Au(111) surface has been studied in situ in ultrahigh vacuum by scanning tunneling microscopy (STM) at room temperature. Two-dimensional (2D) self-assembled supramolecular domains evolve, wherein the well-known one-dimensional (1D) carboxyl H-bond pairing scheme is identified. Since the individual molecules occupy a distinct adsorption site and the supramolecular ordering usually extends over several substrate reconstruction domains, a significant variation in hydrogen bond lengths is encountered, which illustrates the versatility of hydrogen bridges in molecular engineering at surfaces. Ab initio calculations for a 1D H-bonded molecular chain provide insight into the limited geometric response of the molecules in different local environments.

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 score0.005

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 head0.009
GPT teacher head0.229
Teacher spread0.220 · 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

Citations188
Published2004
Admission routes1
Has abstractyes

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