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Record W4391160958 · doi:10.1139/cgj-2023-0267

Fabrication and mechanical characterization of highly preferentially oriented montmorillonite thin films

2024· article· en· W4391160958 on OpenAlexvenueno aff
Yucheng Li, Yong-Gui Chen, Li Liu, Guoping Zhang, Weimin Ye, Qiong Wang

Bibliographic record

VenueCanadian Geotechnical Journal · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsnot available
FundersFundamental Research Funds for the Central UniversitiesChina Postdoctoral Science FoundationNational Natural Science Foundation of China
KeywordsMontmorilloniteFabricationCharacterization (materials science)Materials scienceGeotechnical engineeringComposite materialGeologyNanotechnology

Abstract

fetched live from OpenAlex

This paper presents an experimental protocol developed to prepare highly preferentially oriented montmorillonite thin films, and then to probe with nanoindentation their intrinsic mechanical properties (e.g., Young’s modulus and hardness). Such highly parallel oriented clay thin films were prepared by dispersing varying amounts of montmorillonite powder (e.g., 1–4 g) in deionized water, followed by drying onto silicon wafers. Results indicate that the thin films possess a laminated fabric with a prominent preferred orientation along the basal (00 l) plane. Depth-dependent Young’s modulus and hardness were also observed consistently across different specimens. Specifically, Young’s modulus and hardness of 4.33 and 0.19 GPa, respectively are found at the indentation depth of 100 nm, equivalent to montmorillonite tactoids consisting of ∼80 layers of montmorillonite platelets, respectively.

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 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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.846
Threshold uncertainty score0.494

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.200
Teacher spread0.193 · 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 teacher head, 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

Citations11
Published2024
Admission routes1
Has abstractyes

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