Alternating polystannanes: synthesis, preparation, characterization and a computational study
Bibliographic record
Abstract
Polystannanes have been synthesized by a number of useful routes. Generally, these polymers have been limited to homopolymers containing a single type of substituent. We now demonstrated a novel condensation polymerization utilizing dialkyl or diaryl tin dihydrides and dialkyl tin diamides to prepare alternating polymers with neighbouring tin centers possessing different group functionalities. Three new alternating polystannanes containing both organically solubilizing (n-Bu, Me) and less solubilizing (Ph) side groups as well as the homopolymer dibutylpolystannane have been prepared. A variety of closely related model tristannanes using the same synthetic methodology was also completed. We have also carried out a computational study of a number of model stannanes in order to optimize structures of the oligo- and polystannanes synthetically prepared and predict their spectral properties by using time dependent density functional theory (TD-DFT). This study has yielded results that can be influential in predicting chemical orientation, bonding properties and electronics.
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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 | 0.000 |
| 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 | 0.001 | 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 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".