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Record W4409803299 · doi:10.1002/advs.202502440

Unusual Thermal Transport in Few‐Layer Van der Waals Antiferromagnet CrOCl

2025· article· en· W4409803299 on OpenAlexfundno aff
Yu Yang, Yan Zhou, Ziming Tang, Yulu Liu, Jun Zhou, Xiaokang Li, Xiaoxiang Xi, Qihua Gong, Lifa Zhang, Yunshan Zhao

Bibliographic record

VenueAdvanced Science · 2025
Typearticle
Languageen
FieldMaterials Science
TopicGraphene research and applications
Canadian institutionsnot available
FundersInstitute of Nutrition, Metabolism and DiabetesNational Key Research and Development Program of ChinaGovernment of Jiangsu ProvinceNatural Science Foundation of Jiangsu ProvinceNational Natural Science Foundation of China
KeywordsCondensed matter physicsvan der Waals forceMagnonSpintronicsMaterials sciencePhononThermal conductivityPhase transitionMonolayerNanotechnologyFerromagnetismChemistryPhysics

Abstract

fetched live from OpenAlex

Few-layer van der Waals magnets are exceptional candidates for investigating the fundamental spin behaviors and advancing the development of next-generation ultra-compact spintronic devices. While the intrinsic long-range magnetic order is well-established in the monolayer limit, the thermal transport behavior involving magnons, phonons, and magnetophonon polarons near the phase transition remains largely unexplored. In this work, the thermal transport behavior is probed near the phase transitions from bulk to the monolayer limit by using a differential suspended thermal bridge method, which provides an ultra-sensitive temperature and thermal conductance measurement enhanced by the double Wheatstone bridge. In the few-layer CrOCl flake, a stronger magnon-phonon coupling is observed compared to the bulk, resulting in a shift in the thermal transport behavior from a dip to a peak shape around the Néel temperature. Additionally, below the Néel temperature, the few-layer CrOCl significantly enhances the interfacial thermal conductance between the metal electrode and insulator substrate, potentially leading to the substantial improvements in the heat dissipation in Si-based semiconductor devices. This study introduces a novel method and strategy for probing the fundamental magnetic phase transition behavior and lays a solid foundation for the potential application of van der Waals magnets in the electronic devices.

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 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 score0.172
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.333
Teacher spread0.317 · 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 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

Citations4
Published2025
Admission routes1
Has abstractyes

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