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Record W4281618614 · doi:10.1029/2021jb023681

Understanding the Anisotropic Mechanical Behavior of Single‐Crystalline Alpha Quartz From the Insight of Molecular Dynamics

2022· article· en· W4281618614 on OpenAlexaff
Fatemeh Molaei

Bibliographic record

VenueJournal of Geophysical Research Solid Earth · 2022
Typearticle
Languageen
FieldMaterials Science
TopicHigh-Velocity Impact and Material Behavior
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsQuartzAnisotropyMaterials scienceMolecular dynamicsStrain rateStress (linguistics)Uniaxial tensionComposite materialTension (geology)ModulusStrain (injury)Ultimate tensile strengthStrain energy release rateCrystallographyFracture mechanicsChemistryComputational chemistryPhysicsOptics

Abstract

fetched live from OpenAlex

Abstract Quartz is among Earth's most abundant minerals, which has several stable polymorphs in nature. In this study, molecular dynamics simulations are used to investigate the mechanical properties of crystalline alpha quartz. The obtained results specify that tensile stress under uniaxial tension is greater in z (c‐axis) than in other directions (290 vs. 115 GPa and 190 GPa). This outcome confirms that crystalline quartz has an anisotropic behavior under applied load, and as a result, Young's modulus varies in different directions. Furthermore, the effect of existing central cracks with different lengths are considered and the results analyzed. According to the results, central cracks decrease average stress and strain, and this reduction is higher in the z‐direction([0 0 0 1]). Additionally, it was found that the strain rate affects the stress‐strain behavior of the models; however, the strain rate plays a negligible role when the central crack length extends. In terms of potential energy, simulation results indicate that potential energy is the highest in the model without any crack and reduces by growing the central crack size.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.107
GPT teacher head0.348
Teacher spread0.241 · 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

Citations11
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Geophysical Research Solid EarthSame topicHigh-Velocity Impact and Material BehaviorFrench-language works237,207