Efficient and Stable All-Lead Perovskite Tandem Solar Cells Enabled by All-Inorganic CsPbI2Br Top Cells
Bibliographic record
Abstract
Fabricating all-perovskite tandem solar cells (APTSCs) is promising to overcome the thermodynamic limit of single-junction perovskite solar cells. Here, we demonstrate efficient and stable APTSCs based on Pb-based perovskites - a 1.91 eV cesium lead iodide bromide (CsPbI2Br) and a 1.51 eV formamidinium cesium lead triiodide (FA0.95Cs0.05PbI3). We introduce poly[3-(4-methylamine carboxybutyl)thiophene] (P3CT-N) to modify NiOx hole transport layer (HTL) for the wide-bandgap CsPbI2Br cells. The HTL surface modification enhances charge extraction and suppresses the formation of the detrimental interfacial layer, leading to high performance and stability of wide-bandgap CsPbI2Br solar cells. These advances allow us to demonstrate efficient and stable all-Pb APTSCs consisting of CsPbI2Br/FA0.95Cs0.05PbI3 subcells with power conversion efficiencies (PCEs) exceeding 22% and an operational lifetime of more than 1,000 hours under one sun illumination at ~65 °C.
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.
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".