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Record W4414973887 · doi:10.1039/d5sc06168g

Installation of cationic phosphorus on dimethyldihydropyrene photoswitches: expanding the atomic repertoire towards far-red photoswitching in water

2025· article· en· W4414973887 on OpenAlexafffund
Manik Lal Maity, Sayan Chandra, Samyadeb Mahato, Subhajit Bandyopadhyay

Bibliographic record

VenueChemical Science · 2025
Typearticle
Languageen
FieldMaterials Science
TopicPhotochromic and Fluorescence Chemistry
Canadian institutionsSimon Fraser University
FundersScience and Engineering Research BoardArthritis National Research FoundationMitacsAlliance de recherche numérique du CanadaNatural Sciences and Engineering Research Council of CanadaCouncil of Scientific and Industrial Research, India
KeywordsPhotochromismCationic polymerizationPhosphoniumAqueous solutionVisible spectrumQuantumThermal

Abstract

fetched live from OpenAlex

We have synthesized for the first time a small library of negative photochromic dimethyldihydropyrene phosphonium salts (DHPPs) that can be activated by red and far-red (up to 740 nm) photons in a quantitative manner in the so-called "biological window". The intriguing feature of this particular class is their remarkably fast response in fully aqueous media with an improved ring-opening quantum yield. Additionally, the reversal can be activated upon visible (blue) light irradiation and also under thermal conditions in a quantitative manner, achieving efficient bidirectional visible light-mediated switching rendering this particular class of photoswitches even more attractive towards their potential application in biological premises. Additionally, all-photonic orthogonal photoswitching of a mixture of conventional unsubstituted DHP and one of our modified DHPP derivatives provides a demonstration of multifunctional molecular logic operations.

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 score0.004
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.010
GPT teacher head0.266
Teacher spread0.256 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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