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Synthesis and characterization of J and H aggregate-forming carbazole-based diketopyrrolopyrrole materials

2023· preprint· en· W4319004348 on OpenAlexfundno aff
Aritrajit Gupta, Ashish Sarkalya, Ramesh Ganduri, Jayashree Nagesh, Satish Patil

Bibliographic record

VenueChemRxiv · 2023
Typepreprint
Languageen
FieldMaterials Science
TopicLuminescence and Fluorescent Materials
Canadian institutionsnot available
FundersDepartment of Science and Technology, Ministry of Science and Technology, IndiaUK Research and InnovationScience and Engineering Research BoardCompute Canada
KeywordsCarbazoleChromophoreMonomerPhotoluminescenceMaterials scienceCharacterization (materials science)MoleculeAcceptorAggregate (composite)Crystal structureConjugated systemDerivative (finance)Crystal (programming language)PolymerChemical engineeringPhotochemistryCrystallographyNanotechnologyOrganic chemistryChemistryOptoelectronicsComposite material

Abstract

fetched live from OpenAlex

The aggregation of molecules in devices plays a central role in determining their functional properties. In the aggregated state, p conjugated chromophores can exhibit enhanced emission in comparison to their dilute solution. Here we synthesize and characterize a diketopyrrolopyrrole (DPP) based donor-acceptor molecule in terms of its optical properties in solution and thin film. Temperature and concentration dependent photoluminescence studies reveal the presence of both H and J aggregates in thin film, which is corroborated by computational investigations of the coulombic coupling in the crystal structure of the DPP derivative. We find that the type of aggregate formed is extremely sensitive to the relative arrangement of the monomers in the crystal structure geometry.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.025
GPT teacher head0.245
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes1
Has abstractyes

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Same venueChemRxivSame topicLuminescence and Fluorescent MaterialsFrench-language works237,207