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Record W2073927852 · doi:10.1002/adfm.200400108

Limitations of the Förster Description of Singlet Exciton Migration: The Illustrative Example of Energy Transfer to Ketonic Defects in Ladder‐type Poly(<i>para‐</i>phenylenes)

2004· article· en· W2073927852 on OpenAlexafffund
Herbert Wiesenhofer, David Beljonne, Gregory D. Scholes, Emmanuelle Hennebicq, Jean‐Luc Brédas, Egbert Zojer

Bibliographic record

VenueAdvanced Functional Materials · 2004
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsUniversity of Toronto
FundersDivision of ChemistryOffice of Naval ResearchNatural Sciences and Engineering Research Council of CanadaAustralian GovernmentFonds De La Recherche Scientifique - FNRSAustrian Science FundNational Science Foundation
KeywordsExcited stateChromophoreExcitonDelocalized electronSinglet stateDipoleMaterials sciencePhenyleneChemical physicsMolecular physicsDiscrete dipole approximationPhysicsStatistical physicsQuantum mechanicsPolymer

Abstract

fetched live from OpenAlex

Abstract Energy‐transfer processes in phenylene‐based materials are studied via two different approaches: i) the original Förster model, which relies on a simple point‐dipole approximation; and ii) an improved Förster model accounting for an atomistic description of the interacting chromophores. Here, to illustrate the impact of excited‐state localization and the failure of the point‐dipole approximation, we consider a simple model system which consists of two interacting chains, the first a pristine ladder‐type poly( para ‐phenylene) (LPPP) chain and the second an LPPP‐chain bearing a ketonic defect. The latter chain displays both localized electronic excitations close to the ketonic sites as well as excited states that are delocalized over the whole conjugated chain. Singlet hopping rates have been computed for energy transfer pathways involving these two types of excitations. A generalized Förster critical distance is introduced to account for the errors associated with averaging out the actual molecular structures in the original Förster model.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.098
GPT teacher head0.251
Teacher spread0.153 · 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

Citations67
Published2004
Admission routes2
Has abstractyes

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