Effect of Aging and PCBM Content on Bulk Heterojunction Organic Solar Cells Studied by Intensity Modulated Photocurrent Spectroscopy
Bibliographic record
Abstract
butyric acid methyl ester (PCBM) with different P3HT:PCBM ratios were investigated using traditional steady-state as well as non-steady-state intensity modulated photocurrent spectroscopy (IMPS) techniques. The steady state J-V measurements showed that PCBM content did not have a significant effect on the efficiency for freshly prepared devices, whereas aged nonencapsulated devices exhibited a strong dependence on PCBM content. IMPS measurements showed a significant contribution of interfacial nongeminate recombination in nonencapsulated devices, which increased with decreasing PCBM content in the photoactive layer and cell aging. It was related to the formation of interfacial states at the P3HT/PCBM interface due to atmospheric contamination, which act as recombination centers. Device encapsulation was found to be effective in preventing the occurrence of interfacial recombination. Our results suggest that IMPS can be used as a diagnostic tool to predict the performance of bulk heterojunction organic solar cells. If a solar cell shows the presence of interfacial states as indicated by semicircle arcs in quadrant I of the IMPS complex plane plots, it is most likely that its performance will deteriorate with time due to enhanced interfacial recombination, even without further exposure to atmospheric contaminations. We conclude that interfacial nongeminate recombination is an important degradation mechanism in organic solar cells, especially in the case of exposure to atmospheric contaminants.
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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".