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Experimental Study of Granular Materials Composed of Platonic Polipods: Exploring Geometric Cohesion and Solid Fraction

2025· article· en· W4409317612 on OpenAlexaff
David Aponte, Nicolás Estrada, Jonathan Barés, Mathieu Renouf, Émilien Azéma

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2025
Typearticle
Languageen
FieldEngineering
TopicGranular flow and fluidized beds
Canadian institutionsPolytechnique MontréalGeological Survey of Canada
Fundersnot available
KeywordsCohesion (chemistry)Materials sciencePolymer sciencePhysics

Abstract

fetched live from OpenAlex

Abstract In this study, we explored the stability and compactness of columns formed from highly irregular particles. These particles, known as Platonic polypods, are fashioned by extruding arms onto the faces of Platonic solids, for which we systematically varied the number and thickness of these arms. We investigated the emergence and vanishing of geometric cohesion (i.e., solid-like characteristics, in the absence of adhesive forces among particles). We first built columns by depositing particles within a cylindrical container, which was then removed to assess the structure’s stability. Experiments employing three different materials discerned the impact of the friction coefficient between grains. Our results show that specific granular systems manifest geometric cohesion, depending upon their geometric and contact attributes. Furthermore, we measured the initial solid fraction of the columns, illustrating their capacity to attain stability even in markedly loose configurations.

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 score0.002

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 studies0.0000.001
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 head0.018
GPT teacher head0.223
Teacher spread0.205 · 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
Published2025
Admission routes1
Has abstractyes

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Same venueIOP Conference Series Earth and Environmental ScienceSame topicGranular flow and fluidized bedsFrench-language works237,207