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Record W2014062944 · doi:10.1063/1.1381576

The effect of substituents on the vibronic structure of the electronic spectra of α,ω-dithienylpolyenes: A computational study

2001· article· en· W2014062944 on OpenAlexaff
Fabrizia Negri, Marek Z. Zgierski

Bibliographic record

VenueThe Journal of Chemical Physics · 2001
Typearticle
Languageen
FieldChemistry
TopicPhotochemistry and Electron Transfer Studies
Canadian institutionsSteacie Institute for Molecular Sciences
Fundersnot available
KeywordsVibronic couplingVibronic spectroscopyExcited stateChemistrySpectral lineAb initioElectronic structureEmission spectrumMolecular physicsDensity functional theoryAb initio quantum chemistry methodsComputational chemistryThiopheneAtomic physicsMoleculePhysicsQuantum mechanicsOrganic chemistry

Abstract

fetched live from OpenAlex

We present a quantum chemical investigation of the vibronic structure in the electronic spectra of three α,ω-dithienylpolyenes. Equilibrium structures and vibrational force fields of ground and excited electronic states are computed at semiempirical and ab initio levels of theory. The molecular parameters are employed to calculate displacement parameters for totally symmetric modes which are then used to model the vibronic structure of emission and absorption spectra. The observed spectral features are well reproduced by the computed spectra and two characteristic frequency regions are identified for the emission spectra. The first, above 1500 cm−1, is due to the C=C stretching activity typical of trans polyenes. In addition, the strong activity in emission around 1430 cm−1 is rationalized by considering that the two etherocyclic rings add, to the central polyenic chain, a conjugated carbon skeleton with cis linkages. In analogy with the oligomers of thiophene, the cis linkages, along with vibronic coupling, are responsible for the remarkable activity observed in emission in this frequency region.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.229
Teacher spread0.224 · 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 designSimulation or modeling
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

Citations7
Published2001
Admission routes1
Has abstractyes

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