Compositional Influence on the Regioregularity and Device Parameters of a Conjugated Statistical Copolymer
Bibliographic record
Abstract
We describe a conjugated statistical copolymer, poly(3-hexylthiophene)- stat -(3-thiohexylthiophene) (P3HT- s -P3THT), with 3-hexylthiophene:3-thiohexylthiophene monomer ratios ranging from 50:50 to 99:1. The copolymer is head-to-tail regioregular in both its hexylthiophene–hexylthiophene and hexylthiophene–thiohexylthiophene linkages, which is not observed in poly(3-thioalkylthiophene) homopolymers. The polymer sequence is random, and the 1 H NMR spectra have eight distinct aromatic signals that correspond to the eight possible HT–HT regioisomer triads and differ from the spectra expected for the corresponding block or homopolymer systems. When testing the copolymers in bulk heterojunction devices with a fullerene-derivative (PC 71 BM) acceptor, the copolymers have an 11–18% increase in the open-circuit voltage ( V oc ) relative to the P3HT:PC 71 BM device due to the deeper HOMO level of the 3-thiohexylthiophene unit. This increase is independent of copolymer composition over the 50:50 to 85:15 range and is still observed when there is just one 3-thiohexylthiophene unit in the polymer chain. This shows that statistical copolymers containing as low as 1% of a deep HOMO unit can be used to increase the V oc of the device relative to the parent polymer. All device parameters change in a nonlinear manner as a function of composition, which highlights the distinct properties that can be achieved with conjugated statistical copolymers.
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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 | 0.000 | 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 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".