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Antiferromagnetism mediated by heavy electrons: High-order RKKY

2022· article· en· W4293085760 on OpenAlexfundno aff
Mi Jiang, J. Custers, Wenxin Ding

Bibliographic record

VenuePhysical Review Research · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRare-earth and actinide compounds
Canadian institutionsnot available
FundersPriority Academic Program Development of Jiangsu Higher Education InstitutionsSoochow UniversityStewart Blusson Quantum Matter Institute, University of British ColumbiaAnhui UniversityNatural Science Foundation of Anhui ProvinceGrantová Agentura České RepublikyNational Natural Science Foundation of China
KeywordsElectronAntiferromagnetismHeavy fermionRKKY interactionPhysicsCondensed matter physicsOrder (exchange)Spin (aerodynamics)Nuclear physicsSuperconductivity

Abstract

fetched live from OpenAlex

Can the antiferromagnetic (AF) order be induced via the local moments' hybridization with the heavy electrons instead of conduction electrons? We address this intriguingly fundamental question via a prototypical model to describe the interplay between local moments and heavy electrons. We discover that the AF order can be mediated via the heavy electrons through the mechanism of the high-order Ruderman-Kittel-Kasuya-Yosida (RKKY) interaction. Moreover, our analysis employing a slave-spin representation uncovers that the heavy electron band can enhance the RKKY interaction of local moments (despiteits high-order nature) via enlarging its effective mass. The potential relevance to the heavy fermion compound ${\mathrm{Ce}}_{3}(\mathrm{Pt}/\mathrm{Pd}){\mathrm{In}}_{11}$ is also discussed.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.189
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.030
GPT teacher head0.374
Teacher spread0.344 · 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 designNot applicable
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

Citations0
Published2022
Admission routes1
Has abstractyes

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