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Record W2968438106 · doi:10.1002/adfm.201904639

Black Titania with Nanoscale Helicity

2019· article· en· W2968438106 on OpenAlexafffund
Thanh‐Dinh Nguyen, Jessica Li, Erlantz Lizundia, Markus Niederberger, Wadood Y. Hamad, Mark J. MacLachlan

Bibliographic record

VenueAdvanced Functional Materials · 2019
Typearticle
Languageen
FieldEnergy
TopicTiO2 Photocatalysis and Solar Cells
Canadian institutionsFPInnovationsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaEidgenössische Technische Hochschule Zürich
KeywordsMaterials scienceNanorodMesoporous materialChemical engineeringCalcinationLiquid crystalNanotechnologyNanocompositePhotocatalysisAscorbic acidNanoparticleCatalysisOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The fabrication of mesoporous black titanium dioxide (TiO2−x ) with a chiral nematic organization of core–shell nanorods is reported. Chiral templating of TiO2 nanoparticles onto gelatin‐functionalized cellulose nanocrystals (CNCs) followed by calcination yields carbonized TiO2/CNC helical materials that recover white TiO2 replicas after carbon removal. The hydrothermal surface reduction of the traditional white TiO2 by ascorbic acid affords freestanding chiral nematic black TiO2−x. The black TiO2−x is a visible light active semiconducting mesoporous structure constructed by chiral nematic crystalline–amorphous TiO2 core–shell nanorods. The chiral black TiO2−x nanoparticles supported on mesoporous nanocarbon networks are evaluated as lithium‐ion battery anode electrodes. Beyond the current efforts, these black TiO2−x materials and their composites may be useful in the fields of energy storage and catalysis.

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 score0.003
Threshold uncertainty score0.009

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)0.0030.001

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 head0.007
GPT teacher head0.194
Teacher spread0.188 · 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

Citations56
Published2019
Admission routes2
Has abstractyes

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