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Record W3001598776 · doi:10.1103/physrevb.102.054403

Antichiral spin order, its soft modes, and their hybridization with phonons in the topological semimetal <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mrow><mml:mi>Mn</mml:mi></mml:mrow><mml:mn>3</mml:mn></mml:msub><mml:mi>Ge</mml:mi></mml:math>

2020· article· lv· W3001598776 on OpenAlexfundno aff
Yu Chen, Jonathan Gaudet, Sayak Dasgupta, Guy Marcus, Jiao Lin, Taishi Chen, Takahiro Tomita, M. Ikhlas, Yang Zhao, Wangchun Chen, M. B. Stone, Oleg Tchernyshyov, Satoru Nakatsuji, C. Broholm

Bibliographic record

VenuePhysical review. B./Physical review. B · 2020
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicTopological Materials and Phenomena
Canadian institutionsnot available
FundersCore Research for Evolutional Science and TechnologyNIST Center for Neutron ResearchNatural Sciences and Engineering Research Council of CanadaJapan Science and Technology AgencyNew Energy and Industrial Technology Development OrganizationNational Institute of Standards and TechnologyJapan Society for the Promotion of ScienceMinistry of Education, Culture, Sports, Science and TechnologyGordon and Betty Moore FoundationU.S. Department of Energy
KeywordsOrder (exchange)SemimetalComputer sciencePhysicsCondensed matter physics

Abstract

fetched live from OpenAlex

The antichiral spin structure of Mn${}_{3}$Ge and its low-energy excitations are determined using neutron scattering techniques. The authors use a field-theoretical approach in order to derive the relevant spin Hamiltonian, which accounts for the spin order and low-energy excitations in this material. Two magnetoelastic modes were identified, indicating an intimate relationship between strain, magnetism, and transport in Mn${}_{3}$Ge.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0460.001

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 head0.022
GPT teacher head0.274
Teacher spread0.252 · 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 designTheoretical or conceptual
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

Citations39
Published2020
Admission routes1
Has abstractyes

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