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Record W1964521924 · doi:10.1142/s1088424607000291

The photophysics of metalloporphyrins excited in their Soret and higher energy UV absorption bands

2007· article· en· W1964521924 on OpenAlexafffund
Umakanta Tripathy, Ronald P. Steer

Bibliographic record

VenueJournal of Porphyrins and Phthalocyanines · 2007
Typearticle
Languageen
FieldMaterials Science
TopicPorphyrin and Phthalocyanine Chemistry
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsExcited stateChemistryIntramolecular forceRelaxation (psychology)ExcitationAtomic orbitalInternal conversionIntermolecular forceDiamagnetismPhotochemistrySinglet stateElectron transferChemical physicsAtomic physicsMoleculeElectron

Abstract

fetched live from OpenAlex

Photophysical processes involving the higher electronic excited states of diamagnetic porphyrins and metalloporphyrins are critically reviewed. Intramolecular electronic relaxation of one-photon Soret-excited molecules in solution is now known to involve processes other than S 2 - S 1 internal conversion; dark electronic states are implicated. Sequential two-photon excitation to produce gerade excited singlet states ( S n , n > 2) results in relaxation dynamics that are quantitatively different from those resulting from one-photon excitation to ungerade states of about the same energy. Intermolecular electron and electronic energy transfer involving Soret-excited metalloporphyrins and intramolecular electron and electronic energy transfer in Soret-excited dyads and larger arrays containing porphyrins are reviewed. Metalloporphyrins containing main group metals or transition metals with filled d orbitals exhibit relaxation dynamics that differ from metalloporphyrins containing transition metals with unfilled d orbitals. Non-linear phenomena associated with multi-photon excitation of diamagnetic metalloporphyrins are also reviewed.

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 score0.139
Threshold uncertainty score0.685

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 head0.011
GPT teacher head0.232
Teacher spread0.221 · 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

Citations35
Published2007
Admission routes2
Has abstractyes

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