Highly Efficient and Air Stable Ternary Organic Solar Cell Enabled By Employing a Perylenediimide-Based Acceptor
Bibliographic record
Abstract
Organic solar cells (OSCs) are regarded as one of the promising photovoltaic technologies to address the issues of energy crisis and environmental pollution all over the world, and are thus considered as the next generation of solar cells. 1 However, the devices power conversation efficiency and stability of the devices are still important factors to limit the commercial application of OSCs. 2 To this end, enhancement of photon absorption is an attractive strategy for the increase of PCE. Recently, developing the ternary OSCs with three materials of complementary absorption spectra is an efficient method to enhance the photon harvesting of single junction devices while having a fairly simple fabrication process. Meanwhile, the morphology of active layers can be finely optimized by selecting the third component and adjusting its contents to improve performance of ternary OSCs. 3 Herein, we synthesized highly air-stable perylenediimide (PDI)-based non-fullerene material and integrated it into common organic solar cells as the third component to form the ternary OSCs. This cascade band structure showed a better energy level alignment and the complimentary absorption, thus demonstrating a high ternary device efficiency of 8.71% that represented 14.6% enhancement with respect to the corresponding binary OSCs. Besides, morphology was characterized by two-dimensional grazing-incidence X-ray diffraction (2D-GIXRD) and photo-induced force microscopy (PiFM) and results suggest improved compatibility between organic materials in OSCs, which could reduce the electronic trap states to inhibit the charge recombination and increase the stability of devices. The ternary OSCs thus exhibited good air stability, photo-stability and humidity. Our work provides a very promising approach to enhance the photovoltaic performance while demonstrating highly stable devices, which could contribute to the future development of the large area manufacturing in an ambient condition and roll-to roll processing on flexible substrates. Reference 1. Yu T., Xu X. P., Zhang G. J., Wan J. H., Li Y., Peng Q., advanced functional materials, 2017, 1701491. 2. Li P. D., Mainville M., Zhang Y. L., leclerc M., Sun B. Q., Izquierdo R., Ma D. L., small, 2019, 1804671. 3. An Q. S., Zhang F. J., Gao w., Sun Q. Q., Zhang M., Yang C. L., Zhang J., nano energy, 2018, 45, 177-183.
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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 | 0.000 |
| 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 | 0.001 |
| 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".