OPTIMIZATION AND NOVEL SYNTHESIS OF CHLORINATED BORON SUBNAPHTHALOCYANINES FOR USE IN ORGANIC PHOTOVOLTAICS
Bibliographic record
Abstract
Boron Subnaphthalocyanines (BsubNC) make up a small class of isoindoles in the field of organic electronics. The material is often difficult to isolate, produce at scale, and reliably reproduce. Despite the challenges associated with the larger isoindoles, they have demonstrated strong performance in fullerene free devices. The work herein looked to investigate the synthesis of a new starting material for synthesis of BsubNCs. The synthesis of 1,4-dichloro-2,3-dicyanonaphthalene (1,4-Cl-2,3-DCN) as a precursor for the controlled formation of Cl-Cl6-BsubNc macrocycles. A study is made into the optimization of boron subnaphthalocyanines (BsubNcs) synthesis using microwave reactors, a promising method to enhance energy efficiency and reduce reaction times. Traditional synthesis of BsubNcs Additionally, The synthesis and yet to be isolated Cl-Cl6-BSubNC in hopes of addressing the challenge of random halogenation that has been endemic to their synthesis while unlocking a new molecule in the Boron macrocycle toolbox.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".