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Record W2893501418 · doi:10.1063/1.5047029

Surface preparation and the evolution of atomically flat step terrace morphology of MgO single crystals

2018· article· en· W2893501418 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAIP Advances · 2018
Typearticle
Languageen
FieldMaterials Science
TopicElectronic and Structural Properties of Oxides
Canadian institutionsInstitut National de la Recherche Scientifique
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of Canada
KeywordsVicinalAnnealing (glass)EquidistantMaterials scienceFlat surfaceMorphology (biology)Terrace (agriculture)CrystallographyNanotechnologyMineralogyChemical engineeringChemical physicsChemistryComposite materialGeometryGeology

Abstract

fetched live from OpenAlex

We present a preparation method of vicinal stepped MgO (100) substrate surfaces, a prerequisite for high quality thin film growth. Through atomic force microscopy measurements, the surface morphology evolution of (100)-oriented MgO as a function of the annealing conditions is investigated. In particular, we discuss the effect of temperature, time and ambient atmosphere on the evolution of the MgO surface arrangement. At annealing temperature of 1000°C for 40 min, MgO surface morphology displays an atomically flat, single terminated surface with (100)-oriented, sharp terraces and equidistant steps equal to half of the MgO lattice parameter. Longer annealing leads to the formation of bunched terraces with large step heights of 1-5nm. The optimized recipe developed here efficiently removes surface adsorbates, namely hydroxyl and carbonate groups and restores the terraces on the surface.

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.

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 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 score0.009
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.250
Teacher spread0.241 · 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