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Record W4414581499 · doi:10.1021/jacs.5c10041

Structural Control of Band Gap and Polaron Delocalization in 2D Azatriangulene Covalent Organic Frameworks

2025· article· en· W4414581499 on OpenAlexafffund
Chang Wan Kang, Ehsan Hamzehpoor, Pegah Ghamari, Yuze Tao, Mohammad Hossein Gohari, Chenghao Liu, Zhenzhe Zhang, Rustam Z. Khaliullin, Dmitrii F. Perepichka

Bibliographic record

VenueJournal of the American Chemical Society · 2025
Typearticle
Languageen
FieldMaterials Science
TopicCovalent Organic Framework Applications
Canadian institutionsUniversité de MontréalMcGill University
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of Canada
KeywordsPolaronDelocalized electronBand gapCovalent bondIminePhotocurrentAbsorption bandValence (chemistry)

Abstract

fetched live from OpenAlex

New two-dimensional (2D) covalent organic frameworks (COFs) with a tri(oxa)azatriangulene (TANG) node and different polarity of the imine linkers (C═N vs N═C) and internode distance have been synthesized using a transimination polymerization. The orientation of the imine linker controls the donor–acceptor interactions in these π-conjugated COFs, resulting in a large modulation of the valence band maximum (−4.2 to −5.4 eV) and the band gap ( E g ≈ 1.2–1.6 eV). p -Doping of COFs in iodine vapor results in the formation of highly delocalized polarons with an absorption band extending into the far-infrared (THz band) region. Reducing the TANG–TANG internodal distance increases the 2D bandwidth dispersion and leads to the highest (in the series) electrical conductivity (10 –1 S/cm), the lowest conductance activation energy (50 meV near room temperature), and the most red-shifted polaron absorption (λ edge ∼ 160 μm, 8 meV) in the series.

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 score0.003

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 head0.006
GPT teacher head0.252
Teacher spread0.247 · 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

Citations4
Published2025
Admission routes2
Has abstractyes

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Same venueJournal of the American Chemical SocietySame topicCovalent Organic Framework ApplicationsFrench-language works237,207