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Record W2358915146

Study on improvement of epoxidation process of SIS and application

2010· article· en· W2358915146 on OpenAlexaff
Gao Yi

Bibliographic record

VenueJournal of Chemical Industry and Engineering · 2010
Typearticle
Languageen
FieldChemistry
TopicPhotopolymerization techniques and applications
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsPerformic acidEpoxyFormic acidProcess (computing)AdhesiveChemical engineeringMaterials scienceChemistryComposite materialChromatographyOrganic chemistryComputer science
DOInot available

Abstract

fetched live from OpenAlex

ESIS is synthesized by using the in-situ performic method.The improvement method for synthesis process is studied by multistep dropping addition.The results show that the difficulties such as epoxy value control and heat elimination existed in the traditional process can be solved well by multistep dropping addition process.By the new synthesis process,the amount of formic acid is reduced by 40%and side reaction is decreased.The maximum epoxy value is 4.05 mol/kg,increasing by 19.1%,In addition,the alcohol is employed in the system for a homogenous synthesis of ESIS.The homogenous reaction can be performed under extremely rapid react velocity and ambient temperature.The epoxy value of ESIS produced by homogenous synthesis is 0.37mol/kg.ESIS based Hot-melt pressure sensitive adhesive(HMPSA) have better adherent properties in initial tack,holding tack and peeling strength than SIS based HMPSA.

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)0.0010.000

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 head0.258
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

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

Citations0
Published2010
Admission routes1
Has abstractyes

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