MétaCan
Menu
Back to cohort
Record W2625076220 · doi:10.1002/ppsc.201700114

High‐Yield Synthesis of Au@Ag Right Bipyramids and Self‐Assembly into Four‐Leaf‐Clover‐like Structures

2017· article· en· W2625076220 on OpenAlexfundno aff
Fei Ji, Qixuan Zhong, Jianmei Chen, Lei Chen, Huicheng Hu, Qipeng Liu, Peipei Yang, Jiaqi Yu, Lin Jiang, Yong Xu, Elad Gross, Qiao Zhang

Bibliographic record

VenueParticle & Particle Systems Characterization · 2017
Typearticle
Languageen
FieldMaterials Science
TopicGold and Silver Nanoparticles Synthesis and Applications
Canadian institutionsnot available
FundersStatus of Women CanadaMinistry of Science and Technology of the People's Republic of ChinaNatural Science Foundation of Jiangsu ProvinceNational Natural Science Foundation of China
KeywordsBimetallic stripNanostructureYield (engineering)Materials scienceNanomaterialsShell (structure)Raman spectroscopyNanotechnologySurface plasmon resonanceSelf-assemblyCrystallographyNanoparticleChemistryOpticsPhysicsComposite material

Abstract

fetched live from OpenAlex

Abstract Bimetallic core–shell nanostructures are of great interest because of their unique properties. Although bimetallic core–shell nanostructures with plenty of shapes are prepared, synthesis of core–shell nanostructures with asymmetric core and shells is still elusive. This work reports a facile seed‐mediated synthesis of Au@Ag right bipyramids with high yield (>95%) and broadly tunable edge length (from ≈130 to ≈230 nm) as well as tunable localized surface plasmon resonance properties. For the first time, a four‐leaf‐clover‐like tetramer of bipyramids is obtained through self‐assembly of the synthesized Au@Ag right bipyramids. The as‐assembled structure performs well in surface‐enhanced Raman spectroscopy with an analytical enhancement factor up to 1.4 × 107 because of the existence of both sharp tips and “hot‐spots.” The present work not only develops a new kind of nanomaterials, but also shows promising applications in optics and sensing.

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 score0.001
Threshold uncertainty score0.003

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)0.0010.001

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 head0.017
GPT teacher head0.234
Teacher spread0.217 · 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

Citations14
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueParticle & Particle Systems CharacterizationSame topicGold and Silver Nanoparticles Synthesis and ApplicationsFrench-language works237,207