All‐Ambient‐Processed CuSCN as an Inexpensive Alternative to Spiro‐OMeTAD for Perovskite‐Based Devices
Bibliographic record
Abstract
Organic hole‐transporting materials (HTM) are widely used for high‐efficiency solar cells. However, compared with their inorganic counterparts, these materials are often expensive and require complex synthesis methods and the addition of costly dopants to improve their performance. In addition, exposure to the ambient environment affects the chemical stability of some organic materials as well as their device characteristics. Herein, an all‐ambient fabrication method is used to develop a CuSCN layer as an alternative to the conventional Spiro‐OMeTAD HTM. CuSCN thin films are incorporated into both solar cells and photodetectors to study their effect on the optoelectronic properties of these devices. For the solar cells made with CuSCN, a power conversion efficiency of 14.3% is achieved, with remarkable ambient‐stability without encapsulation. Regarding the photodetectors with CuSCN, high‐specific detectivity up to 1012 Jones is exhibited. Solution‐processed devices exhibit overall impressive performances and represent an essential step toward large‐scale fabrication of efficient, stable, facile, and inexpensive perovskite‐based optoelectronic technologies.
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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 | 0.000 |
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".