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Record W3128455594 · doi:10.1116/6.0000808

Atomic structure of CsBr thin films on Ag (111)

2021· article· en· W3128455594 on OpenAlexafffund
Shivani Varshney, J. Nogami

Bibliographic record

VenueJournal of Vacuum Science & Technology A Vacuum Surfaces and Films · 2021
Typearticle
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsScanning tunneling microscopeMonolayerThin filmMaterials sciencePerovskite (structure)Chemical vapor depositionAtomic force microscopyLayer (electronics)NanotechnologyCrystallographyChemical physicsChemistry

Abstract

fetched live from OpenAlex

Ultra-thin CsBr overlayers on the Ag (111) surface have been grown using physical vapor deposition and studied by scanning tunneling microscopy. Atomically resolved images of CsBr show the formation of the NaCl crystal structure rather than the bulk structure of CsBr, i.e., CsCl, in the first two atomic layers. The structure remains the same up to five monolayers, the maximum layer thickness being studied. Mobility of CsBr islands up to 1.1 nm thickness has been observed at room temperature. CsBr is one of the binary constituents for the growth of CsPbBr3 perovskites. Exploring the growth of CsBr on Ag (111) will provide reference information for the better understanding of the growth of CsPbBr3 perovskite thin films under similar growth conditions.

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 score0.005
Threshold uncertainty score0.009

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)0.0020.000

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 head0.224
Teacher spread0.218 · 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

Citations4
Published2021
Admission routes2
Has abstractyes

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