MétaCan
Menu
Back to cohort
Record W2962159027 · doi:10.1088/2053-1591/ab3099

Pore structure and adsorption properties of welan gum modified polyurethane

2019· article· en· W2962159027 on OpenAlex
Xinxing Zhou, Qiong Huang, Song Xu, Zepeng Fan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMaterials Research Express · 2019
Typearticle
Languageen
FieldMaterials Science
TopicPolymer composites and self-healing
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPolyurethaneAdsorptionMaterials scienceChemical engineeringComposite materialPolymer scienceChemistryOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

Welan gum modified polyurethane (WMP) with different welan gum concentrations were synthesized at vacuum conditions. The average pore diameter, porosity, pore volume, contact angle, pore morphology, oil adsorption ratio and absorption energy of WMPs were investigated by nitrogen adsorption analysis (NAA), scanning electron microscope (SEM), energy disperse spectroscopy (EDX), and molecular simulation. The results demonstrated that pore structure is highly dependent on the welan gum content. Moreover, the number of dead-end pores in the WMP decreased more compared to inter-connected, passing, and closed pores. Simulation results showed that the adsorption properties of WMP increased with the increasing welan gum content at a certain level. Welan gum could change the pore shape and improve the irregularity degree of WMP. The gel shrinkage also improves in spite of the hydrogen-bonding interactions. The two parameters of Langmuir isotherms are 42.68 mg g −1 and 0.0245 l mg −1 , respectively. The gasoline adsorbability of WMP is smaller than that of diesel. Consequently, welan gum could improve the adsorption heat and the adsorbability of polyurethane.

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.

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 score0.001
Threshold uncertainty score0.931

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.048
GPT teacher head0.299
Teacher spread0.251 · 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