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Molecular dynamics and experimental characterization of amorphization in silicon substrates during aerosol deposition

2025· article· en· W4409761997 on OpenAlexafffund
S. Rahmati, Zhousheng Yang, Roberto Gomes de Aguiar Veiga, Thomas W. Coyle, J. Mostaghimi, Ali Dolatabadi

Bibliographic record

VenueCeramics International · 2025
Typearticle
Languageen
FieldEngineering
TopicParticle Dynamics in Fluid Flows
Canadian institutionsUniversity of Toronto
FundersAlliance de recherche numérique du CanadaUniversity of TorontoMcMaster University
KeywordsMaterials scienceCharacterization (materials science)AerosolDeposition (geology)Molecular dynamicsSiliconChemical physicsNanotechnologyChemical engineeringMetallurgyComputational chemistryChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

This study explores the amorphization mechanisms in silicon (Si) wafer during aerosol deposition (AD) of alumina particles. Utilizing molecular dynamics (MD) simulations and experimental methods, the research investigates the high-velocity impact process and resulting microstructural changes in Si. Experimental observations using TEM and EDS confirm the presence of a thick amorphous Si layer directly beneath the alumina coating. The MD simulations of alumina aggregate impact on an initially flat, defect-free Si surface reveal the formation of amorphous bands initiating at the surface and propagating along maximum shear stress directions into the bulk. Lattice defects such as dislocations and stacking faults are not involved in the onset of amorphization but may act as precursors for further amorphization due to successive impacts.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.516
Threshold uncertainty score0.480

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 head0.003
GPT teacher head0.219
Teacher spread0.215 · 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 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

Citations2
Published2025
Admission routes2
Has abstractyes

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