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Record W4223434437 · doi:10.1039/d2nr00720g

Thermal transport in twinning superlattice and mixed-phase GaAs nanowires

2022· article· en· W4223434437 on OpenAlexafffund
Ara Ghukasyan, Ray LaPierre

Bibliographic record

VenueNanoscale · 2022
Typearticle
Languageen
FieldMaterials Science
TopicThermal properties of materials
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCrystal twinningNanowireSuperlatticeMaterials scienceThermal conductivityCondensed matter physicsPhase (matter)ThermalOptoelectronicsComposite materialThermodynamicsMicrostructureChemistryPhysics

Abstract

fetched live from OpenAlex

With continuing advances in semiconductor nanowire (NW) growth technologies, synthesis of tailored crystal structures is gradually becoming a reality. Mixtures of the bulk zinc blende (ZB) and wurtzite (WZ) phase can be achieved in III-V NWs under various growth conditions. Among the possible crystal structures, the twinning superlattice (TSL) has attracted particular interest for tuning photonic and electronic properties. In this work, we investigated the mechanisms underlying thermal transport in pristine, TSL, and disordered polytypic GaAs NWs, using non-equilibrium molecular dynamics and transmission spectra obtained from the atomistic Green's function method. We found that a TSL period of 50 Å minimizes the thermal conductivity and determine a phonon coherence length of about 20 to 50 nm, depending on the NW diameter. Our findings indicate strong dependence of the thermal conductivity on the NW surface and internal structure at a given diameter, critical for thermoelectric optimization.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.025
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0050.000

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 head0.019
GPT teacher head0.251
Teacher spread0.232 · 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.

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

Citations8
Published2022
Admission routes2
Has abstractyes

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