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Record W1996961391 · doi:10.1143/jjap.45.l469

Scanning Tunneling Microscope Study of a Local Electronic State Surrounding Mn Nanoclusters on Graphite

2006· article· en· W1996961391 on OpenAlexfundno aff
Katsumi Nagaoka, Lisa M. Wesoloski, James K. Gimzewski, Masakazu Aono, Tomonobu Nakayama

Bibliographic record

VenueJapanese Journal of Applied Physics · 2006
Typearticle
Languageen
FieldMaterials Science
TopicGraphene research and applications
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNanoclustersScanning tunneling microscopeTrimerGraphiteMaterials scienceField emission microscopyElectronic structureMicroscopeNanotechnologyCondensed matter physicsCrystallographyChemistryNuclear magnetic resonancePhysicsOpticsDiffractionDimerMetallurgy

Abstract

fetched live from OpenAlex

We have investigated the influence of Mn nanoclusters on the electronic structure of graphite using the scanning tunneling microscope. The dI/dV spectra and the dI/dV images indicate that a number of Mn nanoclusters of sizes less than one nanometer induce an unexpected local electronic state that surrounds the nanocluster and spreads out by 6–8 nm diameter. This localized state is not observed around a Mn monomer (or trimer) or Mn nanoparticles larger than 1 nm. The localized state is presumably caused by the electronic coupling between the Mn nanocluster and graphite surface, or by a local magnetic field generated by the Mn nanocluster.

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)0.001
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 score0.036
Threshold uncertainty score0.539

Codex and Gemma teacher scores by category

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

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 head0.011
GPT teacher head0.260
Teacher spread0.249 · 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.

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

Citations2
Published2006
Admission routes1
Has abstractyes

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