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Record W2806280862 · doi:10.1063/1.5027619

First-principles phonon thermal transport in graphene: Effects of exchange-correlation and type of pseudopotential

2018· article· en· W2806280862 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Applied Physics · 2018
Typearticle
Languageen
FieldMaterials Science
TopicThermal properties of materials
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of TorontoCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaGovernment of OntarioCompute Canada
KeywordsPseudopotentialPhononThermal conductivityGrapheneDensity functional theoryBoltzmann equationCondensed matter physicsMaterials scienceAtmospheric temperature rangeThermalThermodynamicsWork (physics)Range (aeronautics)ChemistryPhysicsNanotechnologyComputational chemistry

Abstract

fetched live from OpenAlex

First-principles calculations of the thermal conductivity of two-dimensional materials have recently attracted a great deal of attention. The choice of the exchange-correlation (XC) and pseudopotential (PP) is a crucial step towards an accurate first-principles calculation using density functional theory (DFT). This work investigates the sensitivity of the intrinsic thermal conductivity and phonon properties of graphene to the choice of XC and PP in the temperature range of 300–550 K, using first-principles DFT simulations and an iterative solution of the Boltzmann transport equation. We consider six XC-PP combinations (LDA-NC, LDA-US, PBEsol-US, LDA-PAW, PBE-PAW, and PBEsol-PAW). Our results showed that the choice of XC-PP combination results in significant discrepancies, in the range of 5442–8677 W m−1 K−1, among predicted thermal conductivities at room temperature. The LDA-NC and PBE-PAW combinations predicted the thermal conductivities in best agreement with available experimental data. The phonon properties revealed that these discrepancies are mainly due to variations in the prediction of phonon lifetimes and Grüneisen parameters from different XC-PP combinations.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.344

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 head0.016
GPT teacher head0.223
Teacher spread0.207 · 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