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Record W1995557424 · doi:10.1021/jp0480807

Dipole−Dipole Electronic Energy Transfer:  Fluorescence Decay Functions for Arbitrary Distributions of Donors and Acceptors in Systems with Cylindrical Symmetry

2004· article· en· W1995557424 on OpenAlexaff
José Paulo S. Farinha, John G. Spiro, Mitchell A. Winnik

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2004
Typearticle
Languageen
FieldChemistry
TopicPhotochemistry and Electron Transfer Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAcceptorDipoleFormalism (music)Symmetry (geometry)FluorescencePlanarAtomic physicsChemistryCircular symmetryMolecular physicsPhysicsQuantum mechanicsGeometryMathematics

Abstract

fetched live from OpenAlex

We extended our earlier models for direct resonance energy transfer (DET) on systems of planar and spherical symmetry to cylindrical domains. The model we now develop applies to systems with restricted geometries and arbitrary distribution functions of donors and acceptors with cylindrical symmetry. The method enables one to evaluate the donor decay function from the donor and acceptor concentration profiles without requiring prior calculation of the donor−acceptor pair distribution, even when the donor translational invariance requirements of the Klafter−Blumen methodology are not satisfied. The formalism was applied to simple systems in which the donors may or may not occupy equivalent positions. For the first case, our results are compared to and are shown to agree with previously known models. For the second case, we have obtained new expressions for the donor decay function. Finally, we discuss whether certain specific geometries could be distinguished from one another by single-photon-timing fluorescence measurements on dye-labeled samples.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.006
GPT teacher head0.212
Teacher spread0.207 · 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 designTheoretical or conceptual
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

Citations12
Published2004
Admission routes1
Has abstractyes

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