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Record W2056659678 · doi:10.1021/nn900099t

Hollow Metal Nanorods with Tunable Dimensions, Porosity, and Photonic Properties

2009· article· en· W2056659678 on OpenAlexafffund
Nathanael R. Sieb, Nien-chen Wu, Elham Majidi, Richa Kukreja, Neil R. Branda, Byron D. Gates

Bibliographic record

VenueACS Nano · 2009
Typearticle
Languageen
FieldMaterials Science
TopicGold and Silver Nanoparticles Synthesis and Applications
Canadian institutionsSimon Fraser University
FundersBritish Columbia Knowledge Development FundNatural Sciences and Engineering Research Council of Canada
KeywordsNanostructurePorosityMaterials scienceNanorodNanotechnologyPhotonicsCrystalliteMetalNanoparticleOptoelectronicsComposite materialMetallurgy

Abstract

fetched live from OpenAlex

An important aspect of synthesizing designer nanostructures is fine-tuning their size, composition, and surface area. These parameters often dictate the unique properties of nanoparticles relative to their bulk counterpart. This paper reports the synthesis of porous metal nanorods with well-controlled dimensions, porosity, and photonic properties. The growth of each nanostructure is directed by a polycrystalline sacrificial template of silver with well-defined, tunable dimensions. This template can be selectively etched to isolate a porous hollow nanostructure. The porosity, composition, and photonic characteristics of this nanostructure are adjustable by controlling the reaction 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 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 score0.003
Threshold uncertainty score0.290

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 studies0.0000.000
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 head0.014
GPT teacher head0.208
Teacher spread0.194 · 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

Citations66
Published2009
Admission routes2
Has abstractyes

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