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Record W3015556772 · doi:10.1103/physrevb.101.140402

Manipulating magnetism in the topological semimetal <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>EuCd</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mi>As</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:mrow></mml:math>

2020· article· lv· W3015556772 on OpenAlexafffund
Na Hyun Jo, Brinda Kuthanazhi, Yun Wu, Erik Timmons, Tae‐Hoon Kim, Lin Zhou, Lin‐Lin Wang, B. G. Ueland, Andriy Palasyuk, D. H. Ryan, R. J. McQueeney, Kyungchan Lee, Benjamin Schrunk, A. A. Burkov, R. Prozorov, Sergey L. Bud’ko, Adam Kaminski, P. C. Canfield

Bibliographic record

VenuePhysical review. B./Physical review. B · 2020
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicTopological Materials and Phenomena
Canadian institutionsUniversity of WaterlooMcGill University
FundersLaboratory Directed Research and DevelopmentOffice of ScienceFonds Québécois de la Recherche sur la Nature et les TechnologiesU.S. Department of Energy
KeywordsMagnetismWeyl semimetalCondensed matter physicsSemimetalTopology (electrical circuits)Angle-resolved photoemission spectroscopyDensity functional theoryDirac (video compression format)FermionPhysicsMaterials scienceElectronic structureQuantum mechanicsBand gapMathematics

Abstract

fetched live from OpenAlex

${\mathrm{EuCd}}_{2}{\mathrm{As}}_{2}$ is a magnetic semimetal that has the potential of manifesting nontrivial electronic states, depending on its low temperature magnetic ordering. Here, we report the successful synthesis of single crystals of ${\mathrm{EuCd}}_{2}{\mathrm{As}}_{2}$ that order ferromagnetically or antiferromagnetically depending on the level of band filling, thus allowing for the use of magnetism to tune the topological properties within the same host. We explored their physical properties via magnetization, electrical transport, heat capacity, and angle-resolved photoemission spectroscopy measurements and conclude that ${\mathrm{EuCd}}_{2}{\mathrm{As}}_{2}$ is an excellent, tunable system for exploring the interplay of magnetic ordering and topology.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.907
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.004
Bibliometrics0.0000.002
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0040.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.3760.008

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 head0.027
GPT teacher head0.284
Teacher spread0.257 · 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

Citations101
Published2020
Admission routes2
Has abstractyes

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