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Record W2139196195 · doi:10.1103/physrevb.93.195120

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2016· article· lv· W2139196195 on OpenAlexafffund
Nataliya M. Georgieva, Damian Rybicki, Robin Guehne, G. V. M. Williams, Shen V. Chong, Kazuo Kadowaki, Ion Garate, Jürgen Haase

Bibliographic record

VenuePhysical review. B./Physical review. B · 2016
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicTopological Materials and Phenomena
Canadian institutionsRegroupement Québécois sur les Matériaux de PointeUniversité de Sherbrooke
FundersNatural Sciences and Engineering Research Council of CanadaGraduate School BuildMoNaDeutsche ForschungsgemeinschaftCompute Canada
KeywordsElectronic structurePhysicsCrystallographyMaterials scienceCondensed matter physicsChemistry

Abstract

fetched live from OpenAlex

Topological insulators constitute a new class of materials with an energy gap in the bulk and peculiar metallic states on the surface. We report on new features resulting from the bulk electronic structure, based on a comprehensive nuclear magnetic resonance (NMR) study of $^{77}\mathrm{Se}$ on ${\mathrm{Bi}}_{2}{\mathrm{Se}}_{3}$ and ${\mathrm{Cu}}_{0.15}{\mathrm{Bi}}_{2}{\mathrm{Se}}_{3}$ single crystals. First, we find two resonance lines and show that they originate from the two inequivalent Se lattice sites. Second, we observe unusual field-independent linewidths and attribute them to an unexpectedly strong internuclear coupling mediated by bulk electrons. In order to support this interpretation, we present a model calculation of the indirect internuclear coupling and show that the Bloembergen-Rowland coupling is much stronger than the Ruderman-Kittel-Kasuya-Yosida coupling. Our results call for a revision of earlier NMR studies and add information concerning the bulk electronic properties.

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)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, 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 score0.844
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0030.005
Meta-epidemiology (broad)0.0020.008
Bibliometrics0.0010.003
Science and technology studies0.0040.006
Scholarly communication0.0030.004
Open science0.0070.007
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.2570.013

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 head0.271
Teacher spread0.247 · 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

Citations19
Published2016
Admission routes2
Has abstractyes

Explore more

Same venuePhysical review. B./Physical review. BSame topicTopological Materials and PhenomenaFrench-language works237,207