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Record W3213042550 · doi:10.1139/cjp-2020-0493

Structural transformation and dynamical heterogeneity in Germania melt under compression: molecular dynamic simulation

2021· article· en· W3213042550 on OpenAlexvenueno aff
Nguyễn Thị Thanh Hà, Mai Thị Lan, Nguyen Van Hong, P.K. Hung

Bibliographic record

VenueCanadian Journal of Physics · 2021
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Dynamics and Properties
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsMolecular dynamicsVoronoi diagramTetrahedronPeriodic boundary conditionsCompression (physics)Boundary (topology)OctahedronCluster (spacecraft)Phase (matter)CrystallographyDomain (mathematical analysis)Crystal structureChemical physicsCondensed matter physicsThermodynamicsBoundary value problemGeometryChemistry

Abstract

fetched live from OpenAlex

The structural transformation and dynamical heterogeneity in Germania (GeO 2 ) are investigated via molecular dynamics (MD) simulation. The MD model with 5499 atoms was constructed under pressure up to 150 GPa and at a temperature of 3500 K. The structural transformation mechanism has been studied by observing domain structures and boundary oxygen atoms. The simulation result reveals that GeO 2 consists of separate domains and boundaries in its melt structure. Under compression, the structure of GeO 2 changes gradually and represents many types of structures. The melt structure exhibits many structural domains D x , and polymorphism appears at pressures of 12 and 20 GPa. The change of tetrahedral structure to octahedral structure in germanium coordination occurred in parallel with the process of merging and splitting of domain structure. Moreover, the existence of high- and low-density phases in GeO 2 melt is indicated. The high-density phase is D 6 domain and boundary oxygen while the low-density phase is D 4 and D 5 domain. The compression mechanism in GeO 2 melt mainly is a reduction of average Voronoi volume of oxygen and Voronoi volume of D 6 , boundary atoms oxygen. Furthermore, we find the dynamical heterogeneity at ambient pressure. The separate “fast” regions and “slow” regions in GeO 2 are detected via link-cluster function.

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 score0.629
Threshold uncertainty score0.390

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 head0.015
GPT teacher head0.251
Teacher spread0.235 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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