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Record W118797567 · doi:10.1103/physrevb.65.064428

Magnetic properties of amorphous<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">Fe</mml:mi></mml:mrow><mml:mrow><mml:mn>90</mml:mn><mml:mi>−</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">Mn</mml:mi></mml:mrow><mml:mrow><mml:mi>x</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">Zr</mml:mi></mml:mrow><mml:mrow><mml:mn>10</mml:mn></mml:mrow></mml:msub></mml:mrow><mml:mo>(</mml:mo><mml:mn>0</mml:mn><mml:mn/><mml:mo>&lt;~</mml:mo><mml:mi>x</mml:mi><mml:mo>&lt;~</mml:mo><mml:mn>1</mml:mn><mml:mn>2</mml:mn><mml:mo>)</mml:mo></mml:math>alloys

2002· article· lv· W118797567 on OpenAlexfundno aff
A. Perumal, V. Srinivas, K. S. Kim, S. C. Yu, V.V. Rao, R. A. Dunlap

Bibliographic record

VenuePhysical review. B, Condensed matter · 2002
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicTheoretical and Computational Physics
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaDalhousie UniversityCouncil of Scientific and Industrial Research, India
KeywordsMagnetizationCondensed matter physicsPhysicsCurie temperatureAtmospheric temperature rangeAmorphous solidMaterials scienceMagnetic fieldCrystallographyThermodynamicsFerromagnetismChemistryQuantum mechanics

Abstract

fetched live from OpenAlex

The magnetization as a function of field and temperature has been measured for a series of amorphous ${\mathrm{Fe}}_{90\ensuremath{-}x}{\mathrm{Mn}}_{x}{\mathrm{Zr}}_{10}$ alloys with $x=0--12$ in the temperature range 4.2--300 K. All the samples of the present study show double transition (reentrant) behavior below room temperature. The high-temperature transition ${(T}_{c})$ decreases linearly at about 6 K/at. % of Mn, while the low-temperature transition ${(T}_{\mathrm{sg}})$ increases at about 2.6 K/at. % of Mn. A detailed analysis of the temperature dependence of magnetization data reveals: (i) Spin-wave excitations at low-temperature, single-particle excitations and local-spin-density fluctuations (LSDF's) over a wide range of intermediate temperatures and enhanced fluctuations in the local magnetization for temperature close to ${T}_{c}$ contribute dominantly to the thermal demagnetization of spontaneous magnetizations; (ii) external applied magnetic field of strength $>~5\mathrm{kOe}$ suppresses the LSDF's; (iii) the spin-wave stiffness constant (D) decreases from $35.6\ifmmode\pm\else\textpm\fi{}0.3$ to $23.2\ifmmode\pm\else\textpm\fi{}0.2\mathrm{meV}{\AA{}}^{2}$ with increasing Mn concentration; and (iv) the ${D/T}_{c}$ ratio remains constant for all the compositions. A study of critical behavior of the magnetic order-disorder transition by various methods suggest that the critical exponents obtained below and above Curie temperature obey a scaling law $[\ensuremath{\delta}\ensuremath{-}1=\ensuremath{\gamma}/\ensuremath{\beta}$ and $\ensuremath{\alpha}+\ensuremath{\gamma}=2(1\ensuremath{-}\ensuremath{\beta})]$ with a high degree of accuracy in the asymptotic critical region. The exponents are independent of composition and are in close agreement with the values those predicted for three-dimensional Heisenberg ferromagnets. The magnetic parameters such as high-field susceptibility, coercivity, local magnetic anisotropy, and spin-glass behavior, obtained from the low-temperature magnetization data, are consistent with the presence of a mixed magnetic state. The detailed analysis of high-field thermomagnetization data could be explained in terms of the nearest-neighbor Heisenberg model. Moreover, the temperature dependence of the magnetic behavior is discussed in terms of competing ferromagnetic and antiferromagnetic exchange interactions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.022
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0220.003

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 head0.016
GPT teacher head0.232
Teacher spread0.217 · 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 source (direct Gemma or distilled Codex), 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

Citations22
Published2002
Admission routes1
Has abstractyes

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