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Record W2086292983 · doi:10.1063/1.2136431

Reconstruction of atomic images from multiple-energy x-ray holograms of FePt films by the scattering pattern matrix method

2005· article· en· W2086292983 on OpenAlexaff
Yukio Takahashi, Eiichiro Matsubara, Yoshiyuki Kawazoe, Kōki Takanashi, T. Shima

Bibliographic record

VenueApplied Physics Letters · 2005
Typearticle
Languageen
FieldPhysics and Astronomy
TopicCrystallography and Radiation Phenomena
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsHolographyScatteringMatrix (chemical analysis)Materials scienceAtom (system on chip)Energy (signal processing)Thin filmRange (aeronautics)EpitaxyOpticsX-rayAtomic numberPhysicsComputer scienceNanotechnologyAtomic physicsComposite material

Abstract

fetched live from OpenAlex

The scattering pattern matrix (SPM) method, in combination with multiple-energy holographic patterns, can be used to successfully reconstruct Pt atomic images in FePt epitaxial films, that are almost free from the artifacts that often appear in the images reconstructed using the Barton algorithm. The difference in the chemical short-range-order structure in two FePt films grown at different temperatures was clearly observed. The present method provides us a concrete breakthrough for a quantitative analysis of a three-dimensional local atom arrangement around a certain element in a single crystal without any preliminary knowledge of its structure.

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: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.218
Teacher spread0.213 · 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

Citations12
Published2005
Admission routes1
Has abstractyes

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