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Record W4390921232 · doi:10.1063/5.0177942

Annealing effect on 5-fold icosahedral (i)-Al-Pd-Mn quasicrystal surface

2024· article· en· W4390921232 on OpenAlexaff
Vipin Kumar Singh, S. R. Barman

Bibliographic record

VenueAIP conference proceedings · 2024
Typearticle
Languageen
FieldMaterials Science
TopicQuasicrystal Structures and Properties
Canadian institutionsPrairie Improvement Network
Fundersnot available
KeywordsAnnealing (glass)Icosahedral symmetryQuasicrystalLow-energy electron diffractionScanning tunneling microscopeDiffractionCrystallographyMaterials scienceQuasiperiodic functionElectron diffractionScanning electron microscopeAnalytical Chemistry (journal)ChemistryCondensed matter physicsNanotechnologyOpticsMetallurgyPhysics

Abstract

fetched live from OpenAlex

In the present paper, we report a comprehensive study of the effect of the annealing temperature in the ultra-high vacuum on icosahedral (i)-Al-Pd-Mn surface using low energy electron diffraction (LEED) and scanning tunneling microscopy (STM).The preparation of the i-Al-Pd-Mn surface is important for growing elemental quasiperiodic layers.The LEED pattern of i-Al-Pd-Mn shows diffraction spots with a high background after annealing at 823 K whereas sharp spots with less background are observed when annealed at 923 K. On the other hand, STM shows the presence of clusters with diameters of 5 to 40 nm and heights of 1 to 10 nm after annealing at 823 K whereas cluster-free wide and flat terraces are observed after annealing at 923 K. Thus the importance of annealing at the higher temperature of 923K is shown.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.256
Teacher spread0.238 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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