Unsymmetrical graphene nanoribbons: tuning the edges through regioselective photochemical cyclodehydrochlorination
Bibliographic record
Abstract
Novel graphene nanoribbons (GNRs) were prepared from polychlorinated polyphenylene precursors by the photochemical cyclodehydrochlorination (CDHC) reaction. The successful preparation of both laterally symmetrical and unsymmetrical GNRs demonstrates the regioselectivity, edge configuration control, and efficiency of the CDHC reaction. 1 H NMR, Fourier-transform infrared spectroscopy, and X-ray photoelectron spectroscopy confirmed the structures of the GNRs. The optical and electronic properties of the GNRs were studied by UV–vis and photoluminescence analysis. The laterally symmetrical and unsymmetrical GNRs have a bandgap of 3.10 and 2.70 eV, respectively, and both are emissive in the visible region.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".