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Record W2055397879 · doi:10.1103/physrevb.62.12730

Electronic structure and related thermal and magnetic properties of some ternary Invar alloys

2000· article· en· W2055397879 on OpenAlexafffund
Biplab Sanyal, S. K. Bose

Bibliographic record

VenuePhysical review. B, Condensed matter · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic properties of thin films
Canadian institutionsBrock University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsInvarCondensed matter physicsMagnetic momentTernary operationMaterials scienceHyperfine structureThermal expansionFerromagnetismDebye modelThermodynamicsPhysicsAtomic physics

Abstract

fetched live from OpenAlex

We present first-principles electronic structure calculations of some face-centered-cubic disordered ternary Invar alloys, using the tight-binding linearized muffin-tin orbital method combined with the coherent-potential approximation (TB-LMTO-CPA). We calculate the total energies, equilibrium lattice parameters, bulk moduli, magnetic moments, and hyperfine fields for Fe-Ni-Co, Fe-Ni-Pd, and Fe-Ni-Pt Invar alloys. Charge densities at the nuclei, which can be used to interpret the results of isomer shift experiments in these alloys, are also presented. The effects of systematic Co, Pd, and Pt substitution in binary ${\mathrm{Fe}}_{65}{\mathrm{Ni}}_{35}$ alloy on the above properties are carefully examined. We examine the high moment to low moment transition by varying the concentration of Fe. Total-energy curves as a function of the lattice parameter show two distinct minima corresponding to the ferromagnetic (high moment and high volume) and nonmagnetic (zero moment and low volume) states. By using the Debye-Gr\"uneisen model, we calculate thermal-expansion coefficients of these alloys near the Invar compositions. The results are in qualitative agreement with the experimental trend. Finally, we present results for the effective exchange coupling parameter in these alloys following the LMTO-CPA treatment of Liechtenstein et al. [J. Magn. Magn. Mater. 67, 65 (1987)]. Comparison of the calculated quantities with available experimental results is provided, wherever appropriate and feasible.

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 categoriesInsufficient payload (model declined to judge)
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 score0.436
Threshold uncertainty score0.992

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)0.0090.000

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 head0.005
GPT teacher head0.214
Teacher spread0.209 · 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

Citations18
Published2000
Admission routes2
Has abstractyes

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