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Record W2912887380 · doi:10.1002/aic.16569

Preventing crude oil adhesion using fully waterborne coatings

2019· article· en· W2912887380 on OpenAlex
Xu Wu, Yichun Zhang, Minhuan Liu, Xiubin Xu, Zhengping Wang, Ian Wyman, Hui Yang, Fanghui Liu, Jinben Wang, Jiazhong Wu

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

VenueAIChE Journal · 2019
Typearticle
Languageen
FieldMaterials Science
TopicSurface Modification and Superhydrophobicity
Canadian institutionsQueen's University
Fundersnot available
KeywordsCoatingMaterials scienceMelaminePolymerSurface modificationAdhesionRaw materialChemical engineeringExtraction (chemistry)PolyurethaneSiliconeCrude oilSilicone oilPulp and paper industryNanotechnologyChemistryComposite materialOrganic chemistryPetroleum engineering

Abstract

fetched live from OpenAlex

Abstract The petroleum industry has focused on the modification of crude oil composites to decrease their adhesion onto materials and thus facilitate oil extraction, transportation, storage, and processing. However, these methods such as heating, dilution, emulsification, or additives are often accompanied by significant costs and suffer from various limitations. Herein, we present a conceptually different coating strategy that allows many substrates to repel crude oil. The novel coating was achieved via a fully waterborne polymer crosslinkable system consisting of polymer particles, a silicone surfactant, and a melamine formaldehyde resin. Considering the unique anti‐crude‐oil‐adhesion properties, the outstanding physical and chemical stability, as well as the green and industrially‐viable process involved, we anticipate that this coating can provide a promising starting point toward the functionalization of the surfaces of equipment or pipelines that are routinely exposed to crude oils.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score1.000

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)0.0030.001

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 head0.027
GPT teacher head0.265
Teacher spread0.238 · 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