Poly(3-hexylthiophene) bearing pendant fullerenes: aggregation vs. self-organization
Bibliographic record
Abstract
Novel graft copolymers are reported based on poly(3-hexylthiophene) (P3HT) bearing side chains of poly(styrene-stat-chloromethylstyrene), onto which a fullerene C60 or PCBM is covalently attached. P3HT was brominated at the 4-position to various extents (1–30 mol%), subsequently Suzuki-coupled with the boronic ester of 1-(4′-bromophenyl)-1-(2″,2″,6″,6″-tetramethyl-1-piperidinyloxy)ethyl (tempo) to form a nitroxide-functionalized P3HT macroinitiator, which was then used to initiate the nitroxide-mediated radical polymerization (NMRP) of chloromethylstyrene (CMS)-stat-styrene (ST) side chains. CMS units were functionalized with azide units and used to attach fullerene. The polymers contained a relatively high mass content of fullerene (20–41 wt%). Photoluminescence of P3HT is strongly quenched by the fullerene. The absorption of P3HT maximum shifts toward shorter wavelengths with increasing graft density. Films of PCBM/C60 graft copolymers form a bicontinuous morphology with feature sizes <5 nm. Grafting fullerene-bearing side chains directly to P3HT is found to reduce the semi-crystallinity of the P3HT domains, reduce the hole charge mobility, and significantly reduce their photovoltaic activity. This is believed to be due to the poorer solubility of the fullerene units relative to the polymer chains which aggregate during film casting and restricts self-organization of the conjugated polymer.
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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) | 0.000 | 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 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".