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Record W4399010922 · doi:10.1002/adma.202401534

Anisotropic 2D van der Waals Magnets Hosting 1D Spin Chains

2024· article· en· W4399010922 on OpenAlexafffund
Eugene Park, John P. Philbin, Hang Chi, Joshua J. Sanchez, Connor A. Occhialini, Georgios Varnavides, Jonathan B. Curtis, Zhigang Song, Julian Klein, Joachim Dahl Thomsen, Myung‐Geun Han, Alexandre C. Foucher, Kseniia Mosina, Deepika Kumawat, N. Gonzalez‐Yepez, Yimei Zhu, Zdeněk Sofer, Riccardo Comin, Jagadeesh S. Moodera, Prineha Narang, Frances M. Ross

Bibliographic record

VenueAdvanced Materials · 2024
Typearticle
Languageen
FieldMaterials Science
Topic2D Materials and Applications
Canadian institutionsUniversity of Ottawa
FundersMinisterstvo Školství, Mládeže a TělovýchovyOffice of Naval ResearchDivision of Electrical, Communications and Cyber SystemsU.S. Department of EnergyEuropean Regional Development FundArmy Research OfficeNatural Sciences and Engineering Research Council of CanadaMultidisciplinary University Research InitiativeDivision of Materials ResearchArmy Research LaboratoryMathWorksCanada Research ChairsGordon and Betty Moore FoundationNational Science Foundation
KeywordsSpintronicsMagnetismvan der Waals forceCondensed matter physicsSpin (aerodynamics)Materials scienceAntiferromagnetismSpin engineeringMagnonicsAnisotropyMagnetSpin polarizationFerromagnetismPhysicsElectronSpin Hall effectQuantum mechanics

Abstract

fetched live from OpenAlex

The exploration of 1D magnetism, frequently portrayed as spin chains, constitutes an actively pursued research field that illuminates fundamental principles in many-body problems and applications in magnonics and spintronics. The inherent reduction in dimensionality often leads to robust spin fluctuations, impacting magnetic ordering and resulting in novel magnetic phenomena. Here, structural, magnetic, and optical properties of highly anisotropic 2D van der Waals antiferromagnets that uniquely host spin chains are explored. First-principle calculations reveal that the weakest interaction is interchain, leading to essentially 1D magnetic behavior in each layer. With the additional degree of freedom arising from its anisotropic structure, the structure is engineered by alloying, varying the 1D spin chain lengths using electron beam irradiation, or twisting for localized patterning, and spin textures are calculated, predicting robust stability of the antiferromagnetic ordering. Comparing with other spin chain magnets, these materials are anticipated to bring fresh perspectives on harvesting low-dimensional magnetism.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.004

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 head0.013
GPT teacher head0.288
Teacher spread0.275 · 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; both teacher heads agree on what is shown here.

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

Citations12
Published2024
Admission routes2
Has abstractyes

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