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Record W4405590903 · doi:10.1149/ma2024-02191751mtgabs

New Perylene Diimide Dyes and Inks for Large Area Roll-Coated Organic Solar Cells

2024· article· en· W4405590903 on OpenAlexaboutno aff
Gregory C. Welch

Bibliographic record

VenueECS Meeting Abstracts · 2024
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsnot available
Fundersnot available
KeywordsPeryleneDiimideMaterials scienceOrganic solar cellOptoelectronicsNanotechnologyChemistryComposite materialOrganic chemistryPolymer

Abstract

fetched live from OpenAlex

Polycyclic aromatic molecules, especially perylene diimide based dyes, are widely used as electronic materials in photovoltaic devices. 1 Our team at the University of Calgary has been actively developing modified perylene diimides for use in a range of solution processed electronic devices including organic solar cells, 2 organic light emitting diodes, 3 transistors and sensors, 4 electrochromic films, 5 and photo/electro cathodes. 6 This presentation will detail the design and synthesis of several classes of modified perylene diimides for specific use in large area organic solar cell devices and modules, primarily as cathode interlayers in both conventional and inverted type cells, but also as non-fullerene acceptors. Structure-property relationships, the formation of functional large area films via slot-die coating using green solvents, and utility both small area devices and flexible modules will be discussed. Applications as indoor light recycling devices and integration into operational greenhouses will be presented. 1 Journal of Materials Chemistry A, 2021, 9 6775-6789 2 Journal of Materials Chemistry C, 2020, 8, 13430-13438 3 Journal of Materials Chemistry C, 2020, 9, 2314-2319 4 Journal of Materials Chemistry C, 2021, 9, 13630-13634 5 Journal of Materials Chemistry C, 2024, 12, 1710-1717 6 Chemical Science, 2022, 13, 1049-1059

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 score0.019
Threshold uncertainty score0.559

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 studies0.0000.000
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 head0.020
GPT teacher head0.258
Teacher spread0.238 · 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
Published2024
Admission routes1
Has abstractyes

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