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Record W2108111616 · doi:10.1039/c3nj00888f

Hollow micro/nanostructured materials prepared by ion exchange synthesis and their potential applications

2013· article· en· W2108111616 on OpenAlex
Chenglin Yan, Federico Rosei

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

VenueNew Journal of Chemistry · 2013
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsNanotechnologyNanostructureChemistryLithium (medication)Ion exchangeIonBiochemical engineeringMaterials scienceEngineering

Abstract

fetched live from OpenAlex

In recent years there has been a growing interest in synthesizing hollow micro/nanostructure materials using ion exchange methods. This approach was largely enabled by physical and chemical breakthroughs that allowed the reproducible and affordable synthesis of such structures. This Review Article aims at summarizing the approaches based on ion exchange methods. It is not intended as a comprehensive coverage of the field, which can in part be found in other excellent reviews, but rather a selection of those contributions that we feel would most help put this emerging field in perspective. Preliminary studies show that the ion exchange method provides a simple and effective route for the synthesis of hollow micro/nanostructures and also results in other complex nanostructures that are challenging to be synthesized by conventional methods. Finally, applications of hollow structures in lithium-ion batteries, photocatalysis, and biomedicine are discussed.

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 categoriesInsufficient payload (model declined to judge)
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 score0.010
Threshold uncertainty score1.000

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)0.0010.000

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 head0.004
GPT teacher head0.215
Teacher spread0.210 · 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