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Record W4389542542 · doi:10.1021/acs.jpcc.3c06688

Molybdenum Disulfide Flakes as Platforms for the Photoconversion of 4-Nitrothiophenol

2023· article· en· W4389542542 on OpenAlexafffund
Cédric Lambin, María Olivia Avilés, Joachim Jelken, François Lagugné‐Labarthet

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2023
Typearticle
Languageen
FieldMaterials Science
Topic2D Materials and Applications
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMolybdenum disulfidePhotoluminescenceRaman spectroscopyMaterials scienceSurface modificationPhotochemistryNanotechnologyPhotocatalysisSpectroscopyMolybdenumBand gapChemistryOptoelectronicsOpticsOrganic chemistryCatalysisPhysical chemistry

Abstract

fetched live from OpenAlex

Two-dimensional (2D) transition metal dichalcogenides (TMD) are of specific interest for a variety of applications when they present a semiconducting character. The band gap between the valence and the conducting band can be tuned and is dependent on the phase of the TMD flake, the number of layers, and how the flakes are chemically modified to impart new surface functionalities. We investigate the surface functionalization of molybdenum disulfide (MoS 2 ) flakes with electron-acceptor 4-nitrothiophenol (NTP) and measure how the band gap of the flake is altered by the presence of this small organic molecule. The functionalized MoS 2 surface with NTP is investigated with confocal and tip-enhanced Raman spectroscopy as well as with photoluminescence microscopy under 532 nm excitation. Photoconversion of NTP into dimercaptoazobenzene (DMAB) and aminothiophenol (ATP) is reported even under weak irradiation conditions, highlighting the potential of MoS 2 for its photocatalytic properties. The intensity and spectral changes of the photoluminescence of modified MoS 2 are indicative of the charge transfer character between MoS 2 and NTP.

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 score0.008
Threshold uncertainty score0.153

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 head0.015
GPT teacher head0.277
Teacher spread0.262 · 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

Citations5
Published2023
Admission routes2
Has abstractyes

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