Crystal Structures, Reaction Rates, and Selected Physical Properties of Halo-Boronsubphthalocyanines (Halo = Fluoride, Chloride, and Bromide)
Bibliographic record
Abstract
The physical properties, including the solid state arrangement, photophysics, solubility, and electrochemical behavior of a series of halo-BsubPcs (halo = F, Cl, Br) have been measured (IUPAC name halo-(7,12:14,19-diimino-21,5-nitrilo-5 H -tribenzo( c, h, m )(1,6,11)triazacyclopentadecinato)-boron(III)). We have found that across the series all are relatively similar in most regards. Exceptions include that F-BsubPc can be 5 to 25 times more soluble than Cl-BsubPc in common organic solvents. F-BsubPc was also found to be hydrolytically stable under the conditions tested, whereas Cl-BsubPc and Br-BsubPc readily hydrolyzed to form HO-BsubPc. The relative rates of reaction for the series of halo-BsubPcs under standard phenoxylation conditions have also been measured. It was found that F-BsubPc does not undergo phenoxylation, whereas Br-BsubPc showed a markedly higher reaction rate relative to Cl-BsubPc. Based on these data some assumptions can be made as to the suitability of either F-BsubPc or Br-BsubPc to be used in place of the more common Cl-BsubPc. The data indicate that F-BsubPc is a potential replacement for Cl-BsubPc in organic electronic materials whereas Br-BsubPc might be more suitable as a chemical intermediate. Comments on the synthetic methods used to produce each halo-BsubPc are also made.
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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".