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Record W4285400024 · doi:10.1149/ma2022-01152484mtgabs

Bulk Heterojunction Solar Cells: Porphyrins, Dpps and Bodipys As Building Blocks for Efficient Donor Materials

2022· article· en· W4285400024 on OpenAlexaboutno aff
Claude P. Gros, Léo Bucher, Nicolas Desbois, Ganesh D. Sharma

Bibliographic record

VenueECS Meeting Abstracts · 2022
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsnot available
Fundersnot available
KeywordsHeterojunctionOrganic solar cellChemistryEnergy transferPolymerNanotechnologyMaterials scienceOptoelectronicsOrganic chemistryChemical physics

Abstract

fetched live from OpenAlex

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

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.802

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.254
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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