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Record W4405312333 · doi:10.35848/1347-4065/ad9df3

Topological magnets for innovating quantum electronics

2024· article· en· W4405312333 on OpenAlexaff
Hanshen Tsai, Mihiro Asakura, Shun’ichiro Kurosawa, Satoru Nakatsuji

Bibliographic record

VenueJapanese Journal of Applied Physics · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicTopological Materials and Phenomena
Canadian institutionsCanadian Institute for Advanced Research
Fundersnot available
KeywordsBerry connection and curvatureTopology (electrical circuits)MagnetizationCondensed matter physicsAntiferromagnetismNernst effectPosition and momentum spaceMagnetPhysicsFerromagnetismNernst equationMagnetic fieldQuantum mechanicsGeometric phaseMathematics

Abstract

fetched live from OpenAlex

Abstract Macroscopic responses of magnets are often governed by magnetization and thus have been restricted to ferromagnets. However, such responses are found strikingly large in the newly developed topological magnets, breaking the conventional scaling with magnetization. Taking the antiferromagnetic Weyl semimetals as a prime example, we highlight the two central ingredients driving the significant macroscopic responses: the Berry curvature enhanced due to nontrivial band topology in momentum space, and the cluster magnetic multipoles in real space and we show our recent results on the electrical switching of the chiral antiferromagnetic state in its heterostructure using heavy metals and the tunneling magnetoresistance effect using all antiferromagnetic tunnel junctions. Besides, recent studies have indicated that topological magnets exhibit a gigantic anomalous Nernst effect that is a few orders of magnitude larger than previously thought according to its linear relationship to magnetization. Topological electronic structures such as nodal points, lines, and planes are found to generate large Berry curvature and enhance the transverse responses in magnetic states. The discoveries of the novel thermoelectric properties of thin films of recently developed topological magnets pave the path for their application of these effects for the fabrication of heat current sensors.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.401

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)0.0000.000

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 head0.017
GPT teacher head0.268
Teacher spread0.252 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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