Bulk Heterojunction Solar Cells: Porphyrins, Dpps and Bodipys As Building Blocks for Efficient Donor Materials
Bibliographic record
Abstract
Among the different types of organic semiconducting materials, porphyrins, DPPs and BODIPYs based small molecules and conjugated polymers have attracted high interest as efficient semiconducting organic materials for dye sensitized solar cells (DSSC) and bulk heterojunction (BHJ) organic solar cells. Interestingly, they offer a synergistic effect when used together within a material, this coming from high complementarities of their absorption spectra, adapted prerequisites in order to be efficient energy transfer partners, and suitable frontier orbitals energy levels. We have recently designed different porphyrins, DPPs and BODIPYs based electron donor small molecules/polymers for bulk heterojunction organic solar cells (Figure), and now report their synthesis as well as the study of their electrochemical, photophysical and photovoltaic properties. The “Consulat Général de France à Québec” and the “Programme Samuel de Champlain 2015/2016” are acknowledged for funding. We are thankful to Prof. P. D. Harvey (Université de Sherbrooke, CA) for PhD co-supervising and photophysical measurements. REFERENCES Bucher, L.; Desbois, N.; Harvey, P. D.; Sharma, G. D.; Gros, C. P., Solar RRL 2017 , 1 (12), 1700127. Bucher, L.; Tanguy, L.; Fortin, D.; Desbois, N.; Harvey, P. D.; Sharma, G. D.; Gros, C. P., ChemPlusChem 2017 , 82, 625-630 (Biofest special issue). Bucher, L.; Desbois, N.; Harvey, P. D.; Gros, C. P.; Sharma, G. D., ACS Appl. Mater. Interfaces 2018 , 10 (1), 992-1004. Bucher, L.; Tanguy, L.; Desbois, N.; Karsenti, P.-L.; Harvey, P. D.; Gros, C. P.; Sharma, G. D., Solar RRL 2018 , 2 (1), 1700168. Figure 1
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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 | 0.001 | 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 | 0.001 | 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".