Towards Long‐Term Thermal Stability of Dye‐Sensitized Solar Cells Using Multiwalled Carbon Nanotubes
Bibliographic record
Abstract
Abstract In this study, the effect of incorporating multiwalled carbon nanotubes (MWCNTs) on the thermal stability of dye‐sensitized solar cells (DSSCs) was investigated. Under identical measurement conditions (aging at 80 °C for 240 h), DSSCs based on a bare TiO2 anode presented a significant loss in photoconversion efficiency (PCE), dropping to 59 % of their initial value, whereas the DSSCs based on a TiO2–MWCNT nanocomposite anode attained a promising thermal stability with only 20 % loss of PCE. This degradation of cell performance is mainly associated with a dramatic reduction in the short‐circuit current density (Jsc). To understand the mechanisms that underpin these changes in device performance under thermal stress, both types of cells were investigated using various techniques. The incorporation of MWCNTs could eliminate the formation of cracks and improve electron charge transfer. The results of this study indicate a promising new method to enhance the thermal stability of DSSCs using a nanocomposite anode made of one‐dimensional carbon materials.
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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 | 0.001 |
| 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".