Bibliographic record
Abstract
This research targeted the synthesis of group 13 neutral heteroles via transmetallation of the tin atom in stannole moieties. The synthesis of Heteroles of 15a (1-chloro-2,3,4,5-tetraphenylborole), 15b (1-chloro-2,3,4,5-tetraphenylaluminole) and 15c (1-chloro-2,3,4,5-tetraphenylgallole) were attempted. The potential formation of Lewis base adducts were explored through the addition of a coordinating solvent of THF, Et3N, and Et2O and characterized with NMR (1H, 13C and 11B where applicable). It was attempted to synthesize Polymer 17a from the di-brominated borole monomer 16a via a Pd-catalyzed polycondensation reaction. THF was subsequently added to the polymer in an attempt to produce the polymer adduct 17a·THF. This was performed to produce a stable enough material for GPC analysis. The polymer was also characterized with NMR. Theoretical calculations were undertaken at the B3LYP/6-31G* level of DFT to help identify the effect of HOMO-LUMO energy gap of the above heteroles and their adducts. DFT calculations reveal that monomers and oligomer energy gaps can be tuned by substituents attached to the heterole, the type of Lewis adduct formed and the degree of catenation. These monomers and oligomers could potentially be novel building blocks for the synthesis of small energy gap π-conjugated systems.
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 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) | 0.003 | 0.001 |
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".