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Record W2914425145 · doi:10.1021/jacs.9b00144

C<sub>3</sub>N<sub>5</sub>: A Low Bandgap Semiconductor Containing an Azo-Linked Carbon Nitride Framework for Photocatalytic, Photovoltaic and Adsorbent Applications

2019· article· en· W2914425145 on OpenAlexafffund
Pawan Kumar, Ehsan Vahidzadeh, Ujwal Kumar Thakur, Piyush Kar, Kazi M. Alam, Ankur Goswami, Najia Mahdi, Kai Cui, Guy M. Bernard, Vladimir K. Michaelis, Karthik Shankar

Bibliographic record

VenueJournal of the American Chemical Society · 2019
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsNational Institute for NanotechnologyUniversity of Alberta
FundersNational Research Council CanadaCanada First Research Excellence FundUniversity of AlbertaAlberta InnovatesAlberta Innovates - Technology FuturesNatural Sciences and Engineering Research Council of CanadaCMC Microsystems
KeywordsChemistryCarbon nitrideBand gapGraphitic carbon nitridePhotocatalysisX-ray photoelectron spectroscopyPhotochemistryChemical engineeringOptoelectronicsMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Modification of carbon nitride based polymeric 2D materials for tailoring their optical, electronic and chemical properties for various applications has gained significant interest. The present report demonstrates the synthesis of a novel modified carbon nitride framework with a remarkable 3:5 C:N stoichiometry (C 3 N 5 ) and an electronic bandgap of 1.76 eV, by thermal deammoniation of the melem hydrazine precursor. Characterization revealed that in the C 3 N 5 polymer, two s -heptazine units are bridged together with azo linkage, which constitutes an entirely new and different bonding fashion from g-C 3 N 4 where three heptazine units are linked together with tertiary nitrogen. Extended conjugation due to overlap of azo nitrogens and increased electron density on heptazine nucleus due to the aromatic π network of heptazine units lead to an upward shift of the valence band maximum resulting in bandgap reduction down to 1.76 eV. XRD, He-ion imaging, HR-TEM, EELS, PL, fluorescence lifetime imaging, Raman, FTIR, TGA, KPFM, XPS, NMR and EPR clearly show that the properties of C 3 N 5 are distinct from pristine carbon nitride (g-C 3 N 4 ). When used as an electron transport layer (ETL) in MAPbBr 3 based halide perovskite solar cells, C 3 N 5 outperformed g-C 3 N 4, in particular generating an open circuit photovoltage as high as 1.3 V, while C 3 N 5 blended with MA x FA 1– x Pb(I 0.85 Br 0.15 ) 3 perovskite active layer achieved a photoconversion efficiency (PCE) up to 16.7%. C 3 N 5 was also shown to be an effective visible light sensitizer for TiO 2 photoanodes in photoelectrochemical water splitting. Because of its electron-rich character, the C 3 N 5 material displayed instantaneous adsorption of methylene blue from aqueous solution reaching complete equilibrium within 10 min, which is significantly faster than pristine g-C 3 N 4 and other carbon based materials. C 3 N 5 coupled with plasmonic silver nanocubes promotes plasmon-exciton coinduced surface catalytic reactions reaching completion at much low laser intensity (1.0 mW) than g-C 3 N 4, which showed sluggish performance even at high laser power (10.0 mW). The relatively narrow bandgap and 2D structure of C 3 N 5 make it an interesting air-stable and temperature-resistant semiconductor for optoelectronic applications while its electron-rich character and intrasheet cavity make it an attractive supramolecular adsorbent for environmental applications.

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 score0.002
Threshold uncertainty score0.004

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 head0.011
GPT teacher head0.267
Teacher spread0.257 · 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

Citations820
Published2019
Admission routes2
Has abstractyes

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