Perovskite materials for photovoltaics: a review
Bibliographic record
Abstract
Photovoltaic is among the most propitious renewable energy sources for meeting global energy demands. Owing to their simple solution synthesis procedure, lightweight, wearable, power conversion efficiency, flyable, ready to deploy for extremist lightweight space, and reduced cost of constituent materials, perovskite solar cells have gotten huge interest in the past years. Because of the high-quality perovskite film attained by low-temperature fabrication methods, as well as the development of appropriate interface and electrode materials, the effectiveness of perovskite solar cells (PSCs) has topped 25% efficiency in recent years. Furthermore, perovskite solar cells' stabilization has gotten a lot of well-deserved recognition. The future of various carbon, tin, and polymer materials-based perovskite solar cells has even been explored, as well as their industrial expansion possibility are also discussed. This review paper summarizes important accomplishments to date, highlights the unique properties of these perovskites that have led to their fast upsurge, and highlights the problems that must be overcome for perovskite solar cells to be developed and commercialized successfully.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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".