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Record W4407931565 · doi:10.1021/acs.jpcc.4c08755

Tuning the Band Gap of MoS<sub>2</sub> Single Layer with Aryl Diazonium Salts

2025· article· en· W4407931565 on OpenAlexafffund
Cédric Lambin, W. Michael McCarvell, Stéphanie Lau‐Truong, Philippe Decorse, Claire Mangeney, Nordin Félidj, François Lagugné‐Labarthet

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2025
Typearticle
Languageen
FieldMaterials Science
Topic2D Materials and Applications
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsArylLayer (electronics)Materials scienceBand gapDiazonium CompoundsChemistryNanotechnologyOptoelectronicsOrganic chemistry

Abstract

fetched live from OpenAlex

We report on the surface functionalization of molybdenum disulfide flakes (MoS 2 ) with 4-nitrobenzenediazonium (4-NBD) tetrafluoroborate salt to alter their electronic band gap and subsequent excitonic properties. The 2D materials composed of a few layers were grown by chemical vapor deposition over SiO 2 /Si. Raman and photoluminescence analyses of the MoS 2 functionalized surface were conducted using confocal measurements to evaluate the spontaneous formation of polyaryl clusters and azo bonds at the surface of MoS 2 and their stability under laser exposure. Gap mode tip-enhanced Raman and photoluminescence measurements on MoS 2 flakes transferred onto the Au surface were conducted in the vicinity of the polyaryl clusters, enabling the mapping of the excitons and revealing the formation of charged excitons. These results are indicative of a charge transfer process from the MoS 2 flake to the diazonium salts, which in turn act as a p-type dopant for MoS 2 . Contact potential difference measurements were conducted to quantify the electronic work function of the modified MoS 2 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 score0.002
Threshold uncertainty score0.193

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 head0.013
GPT teacher head0.240
Teacher spread0.227 · 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

Citations6
Published2025
Admission routes2
Has abstractyes

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