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Record W4221165242 · doi:10.1103/physrevb.106.245139

Thermal conductivity and theory of inelastic scattering of phonons by collective fluctuations

2022· article· en· W4221165242 on OpenAlexaff
Léo Mangeolle, Leon Balents, L. Savary

Bibliographic record

VenuePhysical review. B./Physical review. B · 2022
Typearticle
Languageen
FieldMaterials Science
TopicThermal properties of materials
Canadian institutionsCanadian Institute for Advanced Research
FundersBasic Energy SciencesKavli Institute for Theoretical Physics, University of California, Santa BarbaraHorizon 2020European CommissionU.S. Department of EnergyOffice of ScienceAgence Nationale de la RechercheEuropean Research CouncilNational Science Foundation
KeywordsCondensed matter physicsPhysicsScatteringPhononPhonon scatteringThermal conductivityInelastic neutron scatteringMagnonScattering rateAntiferromagnetismInelastic scatteringQuantum mechanicsDiagonalMathematicsGeometry

Abstract

fetched live from OpenAlex

Understanding thermal Hall conductivity poses a theoretical challenge in insulators, where low-energy excitations carry no charge. In undoped cuprates, where the signal is large, we expect phonons contribute significantly to the effect. While there is no obvious universal mechanism whereby phonons break time-reversal symmetry and acquire chirality, this paper provides a general treatment of the phonon Hall effect from the inelastic scattering of phonons off of other excitations in quantum materials. As an application, magnetoelastic coupling in square-lattice N\'eel antiferromagnets is investigated thoroughly using the formalism developed in the first part of the paper.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.024
GPT teacher head0.322
Teacher spread0.298 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations20
Published2022
Admission routes1
Has abstractyes

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