<scp>PAMAM</scp>‐containing semiconducting polymers: Effect of dendritic side chains on optoelectronic and <scp>solid‐state</scp> properties
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Bibliographic record
Abstract
Abstract Dendronized polymers are a particularly interesting platform for the preparation of advanced semiconductors given their high degree of functionalization, monodispersity, and bulkiness. Despite advantageous features, the incorporation of dendritic moieties in semiconducting polymers is still relatively underexplored, and the impact on the optoelectronic, thermomechanical, and solid‐state properties are difficult to predict. This work focuses on the incorporation of polyamidoamine (PAMAM) dendritic side chains to semicrystalline polymers based on diketopyrrolopyrrole. Using a versatile synthetic strategy based on the azide‐alkyne Huisgen 1,3‐dipolar cycloaddition, dendronized semiconducting polymers were prepared and the effect of the dendritic side chains on different properties were carefully characterized using different techniques. The dendritic side chains were found to reduce aggregation and crystallinity of the polymers in thin films. PAMAM‐containing semiconducting polymers were also shown to have good charge transport properties in organic field‐effect transistors, within the same order of magnitude to that of diketopyrrolopyrrole‐based polymers bearing branched alkyl chains. This new design approach is particularly interesting to develop advanced semiconducting polymers given its synthetic versatility and the structural diversity of the dendronized moieties. Furthermore, the utilization of dendritic moieties in semiconducting polymers is a promising approach to fine‐tune the thermomechanical properties toward semiconducting polymers for next‐generation organic electronics.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it