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Record W4414323654 · doi:10.1117/12.3064514

Temperature-independent anomalous Hall effect and magnetic field angular dependence in thin bismuth electronic devices

2025· article· en· W4414323654 on OpenAlexaff
Frédéric Boivin, Oulin Yu, A. Silberztein, Erni Ma, G. Gervais

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicTopological Materials and Phenomena
Canadian institutionsMcGill University
Fundersnot available
KeywordsBismuthDiamagnetismMagnetoresistanceMagnetic fieldHall effectSymmetry (geometry)Quantum anomalous Hall effectSemimetal

Abstract

fetched live from OpenAlex

A requirement to observe the anomalous Hall effect (AHE) in an electronic system is for it to break time-reversal symmetry, such as for example in materials that are ferromagnetic. In this work, making use of a newly-developed mechanical exfoliation technique, we have fabricated thin electronic devices in diamagnetic bismuth and performed electronic transport experiments over a wide range of temperatures and magnetic fields. In a 68 nm thick bismuth device, we unequivocally observe an AHE that surprisingly was observed to be entirely temperature independent from 15 mK to 300 K temperatures. In addition, the longitudinal resistance was observed to be entirely featureless, i.e., exhibited no quantum oscillations or magnetoresistance for magnetic fields up to ± 30 T. These observations suggest there could be a hidden mechanism responsible for time-reversal symmetry breaking in bismuth and this could be of fundamental importance considering recent compelling evidence for bismuth to be a higher-order topological insulator.

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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.002
GPT teacher head0.219
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

Citations0
Published2025
Admission routes1
Has abstractyes

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