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Record W2057143711 · doi:10.1063/1.2896414

Self-assembled thulium silicide nanostructures on silicon(001) studied by scanning tunneling microscopy and transmission electron microscopy

2008· article· en· W2057143711 on OpenAlexaff
Jing Zhang, M.A. Crimp, Yi‐Tao Cui, J. Nogami

Bibliographic record

VenueJournal of Applied Physics · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSurface and Thin Film Phenomena
Canadian institutionsUniversity of Toronto
FundersNational Science Foundation
KeywordsMaterials scienceScanning tunneling microscopeNanowireSilicideTransmission electron microscopySiliconEpitaxyNanostructureNanotechnologyScanning electron microscopeSubstrate (aquarium)CrystallographyOptoelectronicsLayer (electronics)ChemistryComposite material

Abstract

fetched live from OpenAlex

Since the formation of epitaxial silicide nanowires by deposition of rare earth (RE) metals on Si(001) was first discovered, intense interest has been focused on their growth mechanism. Unlike many of the other nanowire forming RE metals, which have several different polymorphic silicides at about the same stoichiometry, thulium forms three bulk silicides, Tm5Si3, TmSi, and Tm3Si5, with very different compositions and crystal structures. Due to their lattice mismatch anisotropy with the substrate when grown on the Si(001) surface, the latter two phases have the potential for nanowire formation. Scanning tunneling microscopy shows the formation of both nanowires and larger square islands. Cross-sectional high resolution transmission electron microscopy reveals both orthorhombic TmSi and hexagonal Tm3Si5, forming nanostructures either as connected neighboring structures or as overlapping structures. The coexistence of layers of both silicides in many nanostructures suggests a new mechanism for strain relief at the interface with the substrate.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.003
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.247
Teacher spread0.240 · 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 teacher head, not a consensus.

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

Citations11
Published2008
Admission routes1
Has abstractyes

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