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Record W2155571659 · doi:10.1039/c4cc05741d

Tailoring the assembly, interfaces, and porosity of nanostructures toward enhanced catalytic activity

2014· article· en· W2155571659 on OpenAlexafffund
Thanh‐Dinh Nguyen, Cao‐Thang Dinh, Trong‐On Do

Bibliographic record

VenueChemical Communications · 2014
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsUniversité LavalUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNanotechnologyNanostructureCatalysisPorosityMaterials scienceChemistryOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

The evolution of nanotechnology has inspired materials scientists to invent nanostructures with achievements in numerous practical applications, particularly in catalysis. The great advancements typically involve flexible control over the unique properties of the nanomaterial through tuning their structural geometries and components. In this Feature Article, we present the recent progress of our recent research and that of other groups in tailoring the assembly, interfaces, and porosity of diverse inorganic nanostructures. The enhanced catalytic properties of the engineered nanostructures are discussed in relation to photocatalysis, with special emphasis on solar energy conversion, including water splitting, CO2 reduction, and organic photodecomposition. Considering their attributes of superior catalytic performance and long-term durability, the development of economical, active nanocatalysts opens up practical opportunities for endeavours in sustainable energy conversion and other applied fields. This review is expected to introduce readers to the general principles of engineering the nanostructured features of the inorganic nanomaterials capable of improving solar photocatalytic efficiency.

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 score0.017
Threshold uncertainty score0.370

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 science0.0010.001
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 head0.028
GPT teacher head0.299
Teacher spread0.271 · 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

Citations46
Published2014
Admission routes2
Has abstractyes

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