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Record W2076920514 · doi:10.1063/1.4793604

Magnetic state and exchange interaction in GdScGe: <i>Ab initio</i> study

2013· article· en· W2076920514 on OpenAlexafffund
Xubo Liu, Z. Altounian, Xianghua Han, Narayan Poudyal, J. Ping Liu

Bibliographic record

VenueJournal of Applied Physics · 2013
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic and transport properties of perovskites and related materials
Canadian institutionsMcGill University
FundersArmy Research OfficeDefense Advanced Research Projects AgencyUniversity of Texas at ArlingtonMcGill University
KeywordsCondensed matter physicsMagnetic momentLattice constantCurie temperatureAb initio quantum chemistry methodsFormula unitAb initioElectronic band structureChemistryExchange interactionFermi levelDensity functional theoryGround stateBand gapAtomic physicsPhysicsCrystal structureFerromagnetismComputational chemistryCrystallographyQuantum mechanicsElectronMolecule

Abstract

fetched live from OpenAlex

The electronic structure and magnetic properties for GdScGe system have been studied via a first-principles density functional calculation. The energy band structure has been calculated in a generalized gradient approximation, plus Hubbard U approach. For Gd atoms, seven spin-up 4f bands are fully occupied and situated at the bottom of Ge 4s-like states, while the spin-down 4f hole levels are completely unoccupied and well above the Fermi level. The calculated magnetic moment is 7.6 μB per formula unit and is not sensitive to the change of the unit cell volume. The exchange interaction increases with decreasing unit cell volume, which results in a pressure induced enhancement of the Curie temperature (TC). TC increases from about 345 K to 410 K as external pressure increases from 0 to 18 GPa. With the experimental lattice constants, the calculated TC is 353 K, which is in good agreement with the experimental value (TCexp.=349K).

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score1.000

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)0.0010.000

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 head0.012
GPT teacher head0.218
Teacher spread0.206 · 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

Citations12
Published2013
Admission routes2
Has abstractyes

Explore more

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