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Electronic Properties of Adsorption of Trimesic Acid Monomer on Graphene

2015· article· en· W2442923251 on OpenAlexaff
Farzaneh Shayeganfar

Bibliographic record

VenueJournal of Physics Conference Series · 2015
Typearticle
Languageen
FieldEngineering
TopicSurface Chemistry and Catalysis
Canadian institutionsPolytechnique MontréalRegroupement Québécois sur les Matériaux de Pointe
Fundersnot available
KeywordsTrimesic acidGrapheneMonolayerMaterials scienceAdsorptionScanning tunneling microscopeBand gapChemical physicsIntermolecular forceAcceptorMonomerAb initioHydrogen bondNanotechnologyComputational chemistryPhysical chemistryChemistryMoleculeOrganic chemistryCondensed matter physicsPolymerOptoelectronicsPhysics

Abstract

fetched live from OpenAlex

A large scale approach based on scanning tunneling microscopy STM simulation images and ab initio computation is used to report the adsorbed trimesic acids (TMA) monomer and monolayer behaviors on graphene. Our results unravel the interplay between the adsorption energy and band gap opening for different adsorption sites of TMA/graphene. It has been revealed that regarding to stability of different adsorption site and interaction with π electron containing surfaces (graphene), the high adsorption energy can induce maximum band gap in the system and open up possible uses of graphene in electronic device applications. A vital role on carboxyl functional groups is related to duality behaviors of combined acceptor and donor character with regard to hydrogen bonds which provides stable intermolecular self-assembly1 and monolayers (for detailed explanation and analysis see reference [1]).

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 score0.007
Threshold uncertainty score0.335

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 head0.030
GPT teacher head0.207
Teacher spread0.176 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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