MétaCan
Menu
Back to cohort
Record W3209030524 · doi:10.29169/1927-5129.2021.17.13

Silica-Supported Sulfuric Acid as Doping Agent in Synthesis of a New Composite of Poly(o-methoxyaniline) Under Solid-State Condition

2021· article· en· W3209030524 on OpenAlexvenueno aff
Ali Reza Modarresi‐Alam, Ilnaz Shariati

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2021
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsnot available
FundersUniversity of Sistan and Baluchestan
KeywordsMaterials scienceSulfuric acidDopingFourier transform infrared spectroscopyComposite numberComposite materialChemical engineeringPolymer chemistryOptoelectronics

Abstract

fetched live from OpenAlex

The objective of this research is the synthesis and characterization of the novel composite of poly(o-methoxyaniline)/silica-supported sulfuric acid (POMA-SSSA). The synthesis is done by doping of poly (o-methoxyaniline) emeraldine base in the presence of silica-supported sulfuric acid (SiO2-H2SO4, SSSA) under solid-state (solvent-free) conditions. Herein, poly(o-methoxyaniline) emeraldine salt (POMA-SA) is prepared simply by mixing the base form with H2SO4 in solid-state. The doping process is verified by ultraviolet-visible, Fourier transform infrared spectroscopy and elemental analysis. It is shown that the polymers and composites have maximum doping and the doping counter ion in POMA-SA and POMA-SSSA-bw (before work-up) is HSO4– and in the POMA-SSSA-aw (after work-up) is SO42-. The prepared composites show good conductivity. Scanning electron microscopy (SEM) images show that POMA molecules thoroughly have coated the surface of silica. Moreover, the morphology studies of composites show a smooth surface and sheet-like layer that have covered the particles within the range of 0.5 to 1 μm.

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 score0.005
Threshold uncertainty score0.423

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.039
GPT teacher head0.322
Teacher spread0.283 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Basic & Applied SciencesSame topicConducting polymers and applicationsFrench-language works237,207