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Record W4311953053 · doi:10.1002/agt2.304

The atomic path for constructing single‐helical superstructure of AuCu bimetallic nanoclusters

2022· article· en· W4311953053 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.

Bibliographic record

VenueAggregate · 2022
Typearticle
Languageen
FieldMaterials Science
TopicNanocluster Synthesis and Applications
Canadian institutionsMinistry of Education and Child Care
FundersFundamental Research Funds for the Central UniversitiesGovernment of Jiangsu ProvinceNational Natural Science Foundation of China
KeywordsNanoclustersSuperstructureBimetallic stripNanoparticleMaterials scienceNanotechnologyCrystallographyChemistryMetalStructural engineeringEngineeringMetallurgy

Abstract

fetched live from OpenAlex

Abstract Single‐helical or double‐helical structures are common in living organisms. Helical assembly has been found in the artificial nanoparticles, but how they do so remains poorly understood. Here, we exploit atomically precise Au 6 Cu 6 bimetallic nanoparticles (or called nanoclusters) as building blocks to construct a single‐helical Au 12 Cu 12 superstructure in an operative path, thereby providing access to currently elusive mechanistic pathways. We propose that the thermodynamically viable linear‐to‐bent process at a couple of Au 6 Cu 6 nanoclusters imparted by the organic ligands seems to be critical for the helical‐nanostructured arrangement of Au 12 Cu 12 . This study could help to offer a new design rule for the exquisitely helical structure assembled from the artificial nanoparticles.

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 score0.079
Threshold uncertainty score0.586

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 studies0.0010.000
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 head0.015
GPT teacher head0.229
Teacher spread0.214 · 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