Engineering and Design of Halide Perovskite Photoelectrochemical Cells for Solar‐Driven Water Splitting
Bibliographic record
Abstract
Abstract Photoelectrochemical cells (PEC) use solar energy to generate green hydrogen by water splitting and have an integrated device structure. Achieving high solar‐to‐hydrogen conversion (STH) efficiency along with a long operational lifetime in these cells is crucial for the production of low‐cost green hydrogen as a viable energy source. Several functional components, such as photo absorber, charge transport, and catalyst layers are interfaced in these cells to form a compact monolithic device. In this review, therefore, the engineering and design of the individual components of these cells, the interplay between them, and their interfaces are discussed in detail, as these factors determine the overall performance of the cells. The main emphasis is on halide perovskite (HP) photo absorbers, which have emerged as promising materials for use in these cells due to their superior optoelectronic properties. Recent advances in the development of efficient and stable perovskite‐based cells are highlighted and reviewed. The design of catalysts for water splitting and the effect of factors such as pH and supporting cations are also examined. Finally, the scientific challenges and future directions for designing perovskite‐based photoelectrochemical cells are discussed. This review can help researchers further advance this technology toward commercial production of green hydrogen.
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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 | 0.000 | 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) | 0.000 | 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 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".