Perovskite Solar Cells: From Fabrication to Failure
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
Over the past decade, there have been tremendous advances in the design and fabrication of perovskite solar cells (PSCs). The unique optoelectronic properties of lead halide perovskites have resulted in solution-processed solar cells with excellent efficiencies, and significant advances have now been made in both lab-scale and large-area devices. As the technology moves toward commercialization, it is increasingly important to understand the stability of the devices under operationally relevant conditions. What is the projected lifetime of a perovskite-based module? Which environmental factors (e.g., humidity, heat, light) are most pernicious? What is the precise mechanism of device failure? To this end, both in situ and operando characterization techniques have proven to be useful methods and have provided important information about perovskite crystallization, degradation, and transformation processes. This spotlight article discusses recent advances in PSCs from both a device fabrication and device failure perspective, highlighting our research group’s contributions along the way.
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 | 0.000 |
| 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 it