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Record W4401241411 · doi:10.1021/acs.cgd.4c00844

Selective Chirality-Driven Photopolymerization of Diacetylene Crystals

2024· article· en· W4401241411 on OpenAlexafffund
Pierre Baillargeon, Léo Boivin, Dorah Vaillancourt, Marilie Bélanger, Tarik Rahem, Daniel Fortin, Pierre D. Harvey

Bibliographic record

VenueCrystal Growth & Design · 2024
Typearticle
Languageen
FieldChemistry
TopicPolydiacetylene-based materials and applications
Canadian institutionsDawson CollegeCegep de Trois-RivieresUniversité de SherbrookeCegep de ThetfordCégep de Sherbrooke
FundersNatural Sciences and Engineering Research Council of CanadaFonds de recherche du Québec – Nature et technologiesAlliance de recherche numérique du CanadaUniversité de Sherbrooke
KeywordsDiacetylenePhotopolymerChirality (physics)ChemistryNanotechnologyMaterials sciencePhotochemistryPolymerizationPhysicsOrganic chemistryPolymer

Abstract

fetched live from OpenAlex

Crystal engineering of two diacetylene monomers was achieved by branching two chiral groups [R = PhC*MeNH(CO 2 )CH 2 ] exhibiting an enantiopure configuration of S, S -( DA2 ) and an achiral R, S - meso -isomer ( DA4 ). The X-ray structures of DA2 and DA4 reveal the presence of supramolecular arrangements driven by intermolecular H-bonding. A significant intermolecular closer proximity in DA4 than that in DA2 is depicted, ultimately resulting in a slow thermal (days) and swift (min) photochemical polymerization of DA4 to form PDA5, whereas DA2 is unreactive. DFT computations indicate that in both cases the lowest energy-excited state is the charge-transfer state [CT; PhC*MeNH(CO 2 ) → π*(−C≡C–C≡C−)]. Therefore, this outcome illustrates a drastic selectivity via a settle change in a carbon configuration. Analysis demonstrates that PDA5 is nonemissive and that its coloration arises from a π → π* excitation of the polymer backbone (DFT computations).

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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 head0.016
GPT teacher head0.245
Teacher spread0.229 · 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 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

Citations2
Published2024
Admission routes2
Has abstractyes

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