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Record W2385190896

THE SYNTHESIS OF A MMA/MAh COPOLYMER AND PROPERTIES OF THE COPOLYMER-BASED GEL POLYMER ELECTROLYTES

2008· article· en· W2385190896 on OpenAlexaff
Yun Huang

Bibliographic record

VenueActa Polymerica Sinica · 2008
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsScience North
Fundersnot available
KeywordsMaterials scienceCopolymerThermal stabilityThermogravimetric analysisPolymer chemistryMonomerGel permeation chromatographyMethyl methacrylatePolymerMaleic anhydrideFourier transform infrared spectroscopyDifferential scanning calorimetryChemical engineeringComposite material
DOInot available

Abstract

fetched live from OpenAlex

Poly(methyl methacrylate)(PMMA) is one of the matrix polymers commonly used in gel polymer electrolytes,and has been proposed for lithium battery applications.PMMA-based gel polymer electrolytes(GPE) show high ionic conductivity at ambient temperatures.However,low thermal stability and mechanical properties with hard forming free-standing film in gel systems at high organic solvents will limit its application.In order to overcome these problems,methyl methacrylate(MMA)-maleic anhydride(MAh)(P(MMA-co-MAh)) copolymer was prepared,in the copolymer the ring structure of MAh units can improve the thermal stability and mechanical properties,consequently,improving the thermal stability of P(MMA-coMAh)-based gel polymer electrolytes.The copolymer of P(MMA-co-MAh) was synthesized through solution copolymerization with toluene as solvent,2,2′-azobisiobutyronitrile(AIBN) as the initiator,MMA and MAh as the monomers with the molar ratios of MMA∶MAh monomer is 1∶1.The reaction was carried out at 80℃ under nitrogen atmosphere for 8 h.The structure and properties of the copolymer were characterized by Fourier transform infrared spectroscopy(FTIR),()~1H-nuclear magnetic resonance(()~1H-NMR),X-ray diffraction(XRD),gel permeation chromatography(GPC),thermogravimetric analysis(TGA),differential scanning calorimetry(DSC).It was found that the unsaturated bonds existed in both of MMA and MAh(1637 cm~(-1)) disappeared in the copolymer,whereas a strong absorption peak at 950 cm~(-1) for (O)(C)(O)(C)(O) ring stretching vibration of a saturated cyclic five-membered anhydride and a peak at 1445 cm~(-1) for —CO—O—CH_3 stretching vibration of MMA were observed in the FTIR spectrum,respectively.The()~1H-NMR spectrum of P(MMA-co-MAh) copolymer showed four peaks,and the peaks at δ=2.65~3.20 and 3.5~3.8 represent the chemical shift of H for MAh groups and —COOCH_3 groups,respectively,indicating the molecular structure of copolymer P(MMA-co-MAh).The molar ratios of MMA and MAh in the P(MMA-co-MAh) copolymer is 8∶1.XRD showed that the P(MMA-co-MAh) was a typical amorphous polymer,which is beneficial in improvement of ionic conductivity of its GPE.GPC resalts show that the number average molecular weight(M_n) of the copolymer is 6.40×10~4 and the mass average molecular weight(M_w) is 6.68×10~4;the molecular weight distribution(M_w/M_n) is 1.04.The TGA curves show that the thermal degradation temperature of P(MMA-co-MAh) is 300℃,which is higher than that of the pure PMMA polymer.The DSC results of the P(MMA-co-MAh) copolymer reveal that the glass transition temperature(T_g) is 121.3℃,which is higher than that of the pure PMMA.The gel polymer electrolyte was prepared from the P(MMAco-MAh) copolymer,propylene carbonate(PC) and lithium perchlorate.It is found that the GPE can form free-standing films.The ionic conductivity is 3.0×10~(-5) S/cm at room temperature for 45 wt% P(MMA-co-MAh) gel copolymer enlectrolyte with 55 wt% 1 mol/L LiClO_4-PC solution.The ionc conductivity for GPE of P(MMA-co-MAh) copolymer is lower than that of the gel polymer electrolytes of pure PMMA containing 50 wt% PMMA with 50 wt% 1 mol/L LiClO_4-PC solution.

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 score0.003

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)0.0010.001

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 head0.023
GPT teacher head0.228
Teacher spread0.205 · 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".

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Citations1
Published2008
Admission routes1
Has abstractyes

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