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Record W4416824299 · doi:10.26434/chemrxiv-2025-99hwg

Mechanism of the photodecomposition of stable triarylmethyl radicals

2025· article· W4416824299 on OpenAlexafffund
Hannah E. Hackney, Claude Y. Legault, Hatem M. Titi

Bibliographic record

VenueChemRxiv · 2025
Typearticle
Language
FieldChemistry
TopicSynthesis and Properties of Aromatic Compounds
Canadian institutionsUniversité de SherbrookeMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRadicalPhotodegradationReaction mechanismLuminescencePhotodissociationCyclic voltammetryExcited stateSemiquinone

Abstract

fetched live from OpenAlex

Luminescent radicals, the vast majority of which are derivatives of tris(trichlorophenyl)methyl (TTM), are of significant recent interest because of the unique photophysical properties of the doublet excited state. Though they show high chemical stability, most trityl radicals show very poor photostability, which hinders their application as magnetic, optical and quantum-related materials. In this work, we use density functional theory to study the mechanism of photodegradation of TTM. We isolate the photodecomposition products and characterize them via mass spectrometry, NMR, EPR, UV-Vis absorption spectroscopy, cyclic voltammetry and X-ray crystallography. We show that the reaction proceeds by a 5-electron electrocyclization followed by an unusual 1,8-sigmatropic chloride shift, affording two fluorenyl radicals, which slowly oxidise and hydrolyse to form semiquinone products. We carefully examine the reported photostability of >80 substituted triarylmethyl radicals and demonstrate that other common triarylmethyl radicals, including benchmark luminescent derivatives with the highest photostability, the carbazole-appended TTMs, photodecompose through the same cyclization mechanism, and thus the DFT-calculated activation energy of cyclization can be used to guide the design of photostability in new luminescent triarylmethyl radicals.

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 categoriesInsufficient payload (model declined to judge)
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 score0.084
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.239
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 teacher head, not a consensus.

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
Published2025
Admission routes2
Has abstractyes

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