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Record W4365450520 · doi:10.56367/oag-038-10159

The spikiness of the density of states in quasicrystals

2023· article· en· W4365450520 on OpenAlexaff
Z. M. Stadnik

Bibliographic record

VenueOpen Access Government · 2023
Typearticle
Languageen
FieldMaterials Science
TopicQuasicrystal Structures and Properties
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsQuasicrystalQuasiperiodicityIcosahedral symmetryTernary operationIntermetallicTranslational symmetryAmorphous solidMaterials scienceCrystallographyCondensed matter physicsAlloyPhysicsQuasiperiodic functionChemistryMetallurgy

Abstract

fetched live from OpenAlex

The spikiness of the density of states in quasicrystals The spikiness of the electronic density of states in quasicrystals is believed to be inherent to QCs and so-called approximants (APs) to QCs. Solids have been traditionally divided into two categories: crystalline and amorphous. The dramatic discovery of an icosahedral Al-Mn alloy by Shechtman et al. (1) in 1984 (Shechtman was awarded the 2011 Nobel Prize in Chemistry) extended this dichotomous division by introducing the notion of quasicrystals (QCs). These compounds possess a new type of long-range translational order, quasiperiodicity, and a non-crystallographic orientational order associated with the classically forbidden fivefold, eightfold, tenfold, and twelvefold symmetry axes (2). Whereas there are more than 20 million/tens of thousands known crystalline/amorphous compounds, QCs have hitherto been found in more than a hundred binary and ternary intermetallic systems (3). One of the central problems in condensed matter physics is determining whether quasiperiodicity leads to physical properties that are significantly different from those of crystalline and amorphous materials.

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)0.000
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: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.003
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.035
GPT teacher head0.323
Teacher spread0.288 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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