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Record W2046510688 · doi:10.1021/ma047364m

Using Self-Assembly To Prepare Multifunctional Diblock Copolymers Containing Azopyridine Moiety

2005· article· en· W2046510688 on OpenAlexaff
Li Cui, Smail Dahmane, Xia Tong, Lei Zhu, Yue Zhao

Bibliographic record

VenueMacromolecules · 2005
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsUniversité LavalUniversité de Sherbrooke
Fundersnot available
KeywordsCopolymerMoietyPhotoisomerizationPolymer chemistryAtom-transfer radical-polymerizationChemistryPendant groupSide chainMaterials scienceSelf-assemblyPhotochemistryOrganic chemistryPolymerCatalysisIsomerization

Abstract

fetched live from OpenAlex

Diblock copolymers composed of polystyrene (PS) and a polymethacrylate containing an azopyridine side group (PAzPy) were synthesized using atom transfer radical polymerization for the first time. While conserving the photoactivity related to the trans−cis photoisomerization of azo dyes, the azopyridine moiety made possible the easy use of self-assembly to add new functionalities to the PAzPy block, leading to multifunctional diblock copolymers. On one hand, three carboxylic acids (one aliphatic, one aromatic, and one chiral acid) were complexed with azopyridine moieties through hydrogen bonding which transformed the amorphous PAzPy block into a liquid crystalline (LC) block. Self-assembly-induced LC phases, dependent on the nature of the acid used, could enhance the photoinduced orientation of azopyridine moieties. On the other hand, zinc−tetraphenylporphyrin (ZnTPP) was linked to azopyridine through coordination interaction between the metal and pyridyl group, showing effective loading of metal−porphyrine inside microdomains of the PAzPy block. The complexation with ZnTPP made the PAzPy block become both photoactive and electroactive. This work demonstrates the interest of the strategy of exploiting self-assembly through the use of azopyridine-containing block copolymers.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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)0.0010.000

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 head0.265
Teacher spread0.249 · 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

Citations35
Published2005
Admission routes1
Has abstractyes

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