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Record W4414248954 · doi:10.1080/14686996.2025.2554047

Berry curvature driven transverse thermoelectric generation in topological magnets

2025· review· en· W4414248954 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueScience and Technology of Advanced Materials · 2025
Typereview
Languageen
FieldPhysics and Astronomy
TopicTopological Materials and Phenomena
Canadian institutionsCanadian Institute for Advanced Research
FundersJST-Mirai Program
KeywordsBerry connection and curvatureThermoelectric effectMagnetTransverse planeScalingTopology (electrical circuits)CurvatureThermoelectric generatorSkyrmion

Abstract

fetched live from OpenAlex

Topological magnets such as magnetic Weyl and nodal-line semimetals possess topologically non-trivial band structures in magnetically ordered states. In this class of materials, the Berry curvature in momentum space can be significantly enhanced, resulting in thermoelectric responses that exceed empirical scaling laws based on magnetization. Such large transverse thermoelectric effects enable flexible thin-film-based lateral device structures, leading to novel energy-harvesting technologies and sensors beneficial for Internet of Things (IoT) sensors and wearable devices. In this review, we outline recent progress in the study of the large transverse thermoelectric effects in topological magnets.

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.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.813
Threshold uncertainty score0.735

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.015
GPT teacher head0.299
Teacher spread0.285 · 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