MétaCan
Menu
Back to cohort
Record W4414909830 · doi:10.1021/acs.iecr.5c02480

Understanding Olefin Solubility in Polyethylene from a Molecular Dynamics Simulation Perspective

2025· article· en· W4414909830 on OpenAlexaff
Sajjad Kavyani, Arash Alizadeh, João B. P. Soares

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2025
Typearticle
Languageen
FieldMaterials Science
TopicPolymer crystallization and properties
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPolyolefinSorptionMolecular dynamicsPolyethyleneSolubilityEthylene

Abstract

fetched live from OpenAlex

We investigated the sorption mechanisms of ethylene (ETH) and 1-hexene (HEX) in polyethylene (PE) using molecular dynamics (MD) simulations at 80 °C and various pressures. The simulations revealed that ETH molecules can hinder HEX-PE interactions, reducing HEX clustering with PE chains. This may explain the experimentally observed antisolvent effect of ETH on HEX. Conversely, HEX can enhance the sorption of ETH by acting as carriers, facilitating ETH interactions with PE chain ends. This cosolubility effect was captured by introducing a correction term, S indirect, which accounts for ETH molecules that interact indirectly with PE via HEX. Total ETH solubility is thus expressed as S ETH = S direct + γ S indirect, where S direct corresponds to ETH directly interacting with PE and γ represents the contribution from ETH molecules interacting simultaneously with HEX and PE. Our findings demonstrate that MD offer powerful insights into the molecular-level mechanisms governing sorption in complex, multicomponent systems, such as those encountered in polyolefin reactors.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.203
GPT teacher head0.368
Teacher spread0.166 · 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 designSimulation or modeling
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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueIndustrial & Engineering Chemistry ResearchSame topicPolymer crystallization and propertiesFrench-language works237,207