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Record W4408609452 · doi:10.1021/acsami.5c00200

Highly Efficient Room-Temperature Nonvolatile Magnetization Switching in 2D Van Der Waals Ferromagnet Fe<sub>3</sub>GaTe<sub>2</sub>

2025· article· en· W4408609452 on OpenAlexaff
Menghao Cai, Qinghua Hao, Hongjing Chen, Hongwei Dai, Yuntong Xing, Aoyu Zhang, LePing Li, Zhanhong Chenwen, Xia Wang, Junbo Han

Bibliographic record

VenueACS Applied Materials & Interfaces · 2025
Typearticle
Languageen
FieldMaterials Science
Topic2D Materials and Applications
Canadian institutionsTellabs (Canada)
FundersNational Key Research and Development Program of ChinaHuazhong University of Science and TechnologyNational Natural Science Foundation of China
KeywordsMaterials scienceFerromagnetismvan der Waals forceMagnetizationCondensed matter physicsNon-volatile memoryOptoelectronicsMagnetic fieldMoleculePhysics

Abstract

fetched live from OpenAlex

The ability to manipulate magnetic states through low currents is crucial for next-generation spintronics. Two-dimensional (2D) magnetic van der Waals (vdW) materials have attracted widespread attention due to their huge spin–orbit torque (SOT) effects. However, the relatively low Curie temperature ( T C ) of most known 2D ferromagnets limits their applications above room temperature. Therefore, the effective manipulation of the magnetic state at room temperature and the integration of multiple storage units remain a challenge. Here, we investigate the fundamental magnetism and nonlocal manipulation phenomena of the room-temperature vdW material Fe 3 GaTe 2 (FGaT) using magneto-optical Kerr effect measurement technology, leading to the successful construction of low-power room-temperature nonvolatile magnetic switches and efficient room-temperature magneto-optical memory devices (MOMD). Notably, the power consumption of the room-temperature magnetization switch and the current density of the MOMD are as low as 5.12 × 10 11 W/m 3 and 5 × 10 4 A/cm 2, respectively. These findings provide solutions for the control and integration of next-generation vdW high-performance spintronic 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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
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 score0.004
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.006
GPT teacher head0.224
Teacher spread0.218 · 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 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

Citations3
Published2025
Admission routes1
Has abstractyes

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