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Record W2001852408 · doi:10.1103/physrevb.61.14531

<i>Ab initio</i>studies on the vibrational and thermal properties of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">Al</mml:mi></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub></mml:mrow><mml:mi mathvariant="normal">Li</mml:mi></mml:math>

2000· article· lv· W2001852408 on OpenAlexaff
Zhiqiang Li, John S. Tse

Bibliographic record

VenuePhysical review. B, Condensed matter · 2000
Typearticle
Languagelv
FieldEngineering
TopicThermodynamic and Structural Properties of Metals and Alloys
Canadian institutionsSteacie Institute for Molecular Sciences
Fundersnot available
KeywordsPseudopotentialPhononAb initioHeat capacityThermal expansionPhysicsThermodynamicsOrientation (vector space)Specific heatMaterials scienceCondensed matter physicsAtomic physicsQuantum mechanicsGeometryMathematics

Abstract

fetched live from OpenAlex

A direct method is used to calculate phonon dispersions of ${\mathrm{Al}}_{3}\mathrm{Li}$ based on the Hellmann-Feynman forces obtained from first-principles plane-wave pseudopotential calculations. The vibrational and thermodynamic properties of ${\mathrm{Al}}_{3}\mathrm{Li}$ are calculated by using the quasiharmonic approximation at finite temperature, in comparison with the calculations of ${\mathrm{Al}}_{4}$ in fcc structure to understand the alloying effect of Li. The calculated quantities, such as phonon dispersions, Gr\"uneisen parameter, heat capacity, thermal expansion coefficient, and bulk modulus as a function of temperature, are discussed and compared with available experimental data.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.923
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.002
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.6650.003

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 head0.235
Teacher spread0.216 · 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; both teacher heads agree on what is shown here.

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

Citations52
Published2000
Admission routes1
Has abstractyes

Explore more

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