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Record W2951533295 · doi:10.1021/acs.macromol.9b00794

Thermoresponsive Behavior of Poly(acrylic acid-<i>co</i>-acrylonitrile) with a UCST

2019· article· en· W2951533295 on OpenAlexafffund
Chuanzhuang Zhao, Louis Dolmans, X. X. Zhu

Bibliographic record

VenueMacromolecules · 2019
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsUniversité de Montréal
FundersChina Scholarship CouncilNatural Science Foundation of Zhejiang ProvinceNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsUpper critical solution temperatureCopolymerAcrylonitrileMicellePolymer chemistryAcrylic acidPolymerHydrogen bondAmphiphileMaterials scienceCloud pointChemical engineeringMiscibilityHydrophobic effectAqueous solutionChemistryLower critical solution temperatureOrganic chemistryMoleculeComposite material

Abstract

fetched live from OpenAlex

Poly(acrylic acid) is water soluble but can be converted into a thermoresponsive polymer possessing an upper critical solution temperature (UCST) by copolymerizing with acrylonitrile. The copolymers showed a UCST in water under ambient conditions, driven by the combined effect of hydrogen bonding between the carboxylic acid groups and hydrophobic interaction among the acrylonitrile moieties. The cloud point of the copolymers can be tuned by changing the copolymer composition, concentration, pH, and ionic strength of the solution. The dynamic light scattering results indicate that the amphiphilic copolymer chains are solubilized in the form of micelles through interchain hydrophobic interaction and the micelles may also form small aggregates through hydrogen bonding at temperatures below the UCST. This work demonstrates a new strategy for the design of thermoresponsive polymers from comonomers that are not known to produce thermoresponsive polymers but can be made into such polymers through the synergetic effect of different interactions that contribute to the enthalpic and entropic changes of mixing in the aqueous systems.

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 score0.001
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)0.0010.000

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 head0.007
GPT teacher head0.230
Teacher spread0.223 · 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

Citations76
Published2019
Admission routes2
Has abstractyes

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