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Record W4412842704 · doi:10.1021/acs.nanolett.5c01716

Macroscopic Graphene Oxide Hollow Spheres

2025· article· en· W4412842704 on OpenAlexafffund
Bo Wang, Yiwen Chen, Gabriele Capilli, Thomas Szkopek, Marta Cerruti

Bibliographic record

VenueNano Letters · 2025
Typearticle
Languageen
FieldMaterials Science
TopicGraphene research and applications
Canadian institutionsMcGill University
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of CanadaMcGill University
KeywordsGrapheneOxideMaterials scienceSPHERESNanotechnologyChemical engineeringPhysicsMetallurgy

Abstract

fetched live from OpenAlex

Inspired by soap bubbles, millimeter-sized graphene oxide (GO)-stabilized bubbles are produced by blowing air into an aqueous suspension containing GO and surfactants. The bubbles are air-dried to form self-supporting hollow spheres with an exceptional diameter-to-wall thickness ratio of 65,000, corresponding to the ratio between the macroscopic diameter and microscopic wall thickness, and an ultralow density of 0.16 mg/cm 3 . During drying, the GO suspension self-assembles into lamellar, nanometer-thin GO walls, which prevent bubbles from bursting due to gravity drainage. In the hydrated state, bubbles can be pierced and loaded with particles that remain encapsulated in the hollow spheres upon drying. After thermal treatment, the resulting reduced GO (rGO) hollow spheres can be coated with a multilayer poly(ethylenimine)/GO shell that inhibits gas transport. Macroscopic GO and rGO hollow spheres are appealing for many potential applications and exemplify the unique self-assembly properties of 2D materials.

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 score0.016
Threshold uncertainty score0.466

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 head0.009
GPT teacher head0.276
Teacher spread0.267 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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