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Record W7117791897 · doi:10.1021/acs.langmuir.5c04358

Molecular Dynamics Simulation of the Interfacial Effect of Cellulose Ether in Sandy Soil Improvement

2025· article· en· W7117791897 on OpenAlexaff
Zhibo Chen, Z. Pan, Senkai He, Yang Li, Tianming Hu, Wei Huang

Bibliographic record

VenueLangmuir · 2025
Typearticle
Languageen
FieldEngineering
TopicPolymer-Based Agricultural Enhancements
Canadian institutionsTransport Canada
Fundersnot available
KeywordsCelluloseAdsorptionHydrogen bondEtherMolecular dynamicsTernary operation

Abstract

fetched live from OpenAlex

Due to their loose physical structure and low cohesion, sandy soil slopes are highly susceptible to rainfall erosion under natural conditions, leading to soil erosion and slope instability. The traditional slope protection methods are characterized by high cost, high environmental impact, and complicated construction, which make it difficult to meet the needs of ecological restoration and economic efficiency. Cellulose ether, as a natural cellulose modification product, has high adhesive strength, good water retention, and ecological and environmental protection and has a broad prospect in soil improvement and slope protection. However, its microscopic adsorption mechanism on the surface of soil particles, especially the adsorption behavior under different water content and temperature conditions, has not been fully understood. In this paper, a ternary composite model of "cellulose ether-water-silica" was constructed by molecular dynamics (MD) simulation, and the interfacial interactions between cellulose ether and the sandy soil surface were analyzed by calculating the adsorption energy, the number of hydrogen bonds, and the radial distribution function (RDF). The results showed that (1) the increase of water content significantly weakened the adsorption energy and the number of hydrogen bonds between cellulose ether and the sandy soil surface, and the sensitivity of different types of cellulose ether to the change of water content was different; (2) the number and structure of functional groups play a key role in the adsorption performance of cellulose ether, and the higher the hydroxyl content, the stronger the adsorption capacity; and (3) the temperature has a significant effect on the adsorption behavior of cellulose ether, and different cellulose ethers exhibited distinct temperature response characteristics. This study provides a theoretical basis and technical reference for the molecular design of ecological protective materials for sandy slopes.

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 score0.028
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.002
GPT teacher head0.208
Teacher spread0.206 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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