Development of Photovoltaic Devices Based on Near Infrared Quantum Dots and Conjugated Polymers
Bibliographic record
Abstract
Abstract For decades, solution‐processable, light absorbing semiconductor materials of quantum dots (QDs) and conjugated polymers have been extensively studied in third‐generation photovoltaic (PV) devices, targeting both high efficiency and low cost, due to their various advantages. It is promising to fabricate PV devices by further combining near infrared (NIR) QDs and conjugated polymers, which can potentially merge the respective advantages of both polymers and inorganic nanomaterials in mechanical flexibility, specific weight, light absorption and photostability. In this review article, we first present the application of NIR QDs in organic solar cells built upon traditional polymers. Exciton dissociation and charge carrier transport are described, and strategies for improving the performance of these devices are analyzed. Then, the developments of NIR QDs‐polymer hybrid solar cells based on recently developed low‐bandgap polymers are summarized. Finally, future perspectives are discussed.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".