Development of Low Bandgap Donor-Acceptor Polymers for Use in Optoelectronics
Bibliographic record
Abstract
Development of organic optoelectronic devices have gained great deal of attention in recent years due to unique advantages over their inorganic counterpart such as easy processability and flexibility.The focus of development has gone into conjugated organic polymers and turning band gap.Adopting donor-acceptor (D-A) methodology have been the most effective strategy in conceptualizing these developments.This thesis consists of four parts.The first part consists of design, syntheses and characterization of diketopyrrolopyrrole (DPP)-based polymers bearing thermal cleavable moiety used for multilayer device structure.These polymers show spectral response from 300-800 nm and display reasonable solubility prior to cleavage.Multilayer films were easily processed with good retention of PCBM and are excellent candidate for tandem devices.In the second part, introduction of a stronger acceptor, diazapentalene (DAP), in polymer to achieve coverage of longer wavelength and study of multilayer device for photodetection.Furthermore, conversion of the DPP-based polymers to their thiolactam analogue were demonstrated.The converted polymers show bathochromic shift in absorption and large spectral response tailing at 1400 nm.The multilayer device consisting of polymer DAPb-DTP exhibit superior detectivity, responsitivity and EQE in the NIR region from 750 to 1000 nm.In the third section, development of cross-linkable polymer for use as p-type interface layer was demonstrated.The cross-linked films were rendered insoluble using palladium catalyst.In the last section, modified benzothiadiazole (BT)-based polymers were synthesized to study electrochromic activity in the near-infrared region and also demonstrate intramolecular hydrogen-bonding to increase the strength of the BT unit.
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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) | 0.001 | 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".