Recent Advances in Poly(3‐hexylthiophene) and Its Applications in Perovskite Solar Cells
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
2,2',7,7'‐Tetrakis( N , N ‐di‐p‐methoxyphenylamine)‐9,9'‐spirobifluorene (Spiro‐OMeTAD) is considered the backbone of high performance in perovskite solar cells (PSCs) with the highest recorded power conversion efficiency near 26%. Devices with Spiro‐OMeTAD as a hole‐transport material (HTM) inherit very low stability due to the use of ionic‐based and unstable hygroscopic dopants to boost their hole mobility, hindering their stability. Poly(3‐hexylthiophene) (P3HT) is considered one of the promising HTM candidates, due to its formidable physical and electronic properties including higher hole mobility and thermal and moisture‐resisting nature. Despite these advantages, pristine P3HT‐based PSCs suffer low photovoltaic performances owing to unmatched perovskite/hole‐transport layer (HTL) interface and low mobility compared to doped HTMs. Today, studies are focusing on how to manage the interface between perovskite and P3HT and improve its hole mobility to achieve significant performance records in n– i –p PSCs. Herein, the advances of P3HT HTL are reviewed and light is shed on its different related approaches. Doping strategies and structural and molecular modifications to boost the hole mobility are reviewed. Interface engineering approaches to enhance the contact between perovskite and P3HT are discussed in detail. Moreover, incorporation in future PSC applications is investigated. Finally, a summary and a short outlook are provided.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 it