MétaCan
Menu
Back to cohort
Record W1649571208 · doi:10.1063/1.3056408

A first-principles study on the magnetocaloric compound MnFeP2∕3Si1∕3

2009· article· en· W1649571208 on OpenAlexaff
Xubo Liu, Z. Altounian

Bibliographic record

VenueJournal of Applied Physics · 2009
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic and transport properties of perovskites and related materials
Canadian institutionsMcGill University
Fundersnot available
KeywordsMagnetic momentMagnetic refrigerationMagnetizationCondensed matter physicsFormula unitDensity functional theoryChemistryExchange interactionElectronic structureHexagonal crystal systemCrystallographyMaterials scienceFerromagnetismMagnetic fieldComputational chemistryCrystal structurePhysics

Abstract

fetched live from OpenAlex

The electronic structure and magnetic properties for MnFeP2∕3Si1∕3 with a hexagonal Fe2P-type structure have been studied by a first-principle density functional theory calculation. The calculated magnetic moments for Fe and Mn are 1.35 and 2.89μB, respectively, leading to a total magnetization of 4.15μB per formula unit due to the small negative moments of P and Si atoms. The total energy calculations show that the Si atoms prefer to occupy the 2c site rather than the 1b site and increase the moment of Fe while decreasing the moment of Mn. The nearest Mn–Fe exchange coupling interaction (JMn–Fe=1.33mRy) is much stronger than for Fe–Fe (JFe–Fe=−0.16mRy) and Mn–Mn atomic pair (JFe–Fe=−0.53mRy) interactions. The competed exchange interactions are responsible for the field induced first order magnetic transition and the large magnetocaloric effect.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
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 head0.027
GPT teacher head0.227
Teacher spread0.199 · 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 designSimulation or modeling
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

Citations23
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Applied PhysicsSame topicMagnetic and transport properties of perovskites and related materialsFrench-language works237,207