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Record W2334958122 · doi:10.1021/cm503803u

M13 Virus-Enabled Synthesis of Titanium Dioxide Nanowires for Tunable Mesoporous Semiconducting Networks

2015· article· en· W2334958122 on OpenAlexfundno aff
Po‐Yen Chen, Xiangnan Dang, Matthew T. Klug, Noémie‐Manuelle Dorval Courchesne, Jifa Qi, Md Nasim Hyder, Angela M. Belcher, Paula T. Hammond

Bibliographic record

VenueChemistry of Materials · 2015
Typearticle
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaEniMassachusetts Institute of Technology
KeywordsMesoporous materialMaterials sciencePerovskite (structure)NanotechnologyNanowireTitanium dioxideEnergy conversion efficiencyNanoparticleChemical engineeringCatalysisOptoelectronicsChemistryComposite material

Abstract

fetched live from OpenAlex

Mesoporous semiconducting networks exhibit advantageous photoelectrochemical properties. The M13 virus is a versatile biological scaffold that has been genetically engineered to organize various materials into nanowire (NW)-based mesoporous structures. In this study, high-aspect ratio titanium dioxide NWs are synthesized by utilizing M13 viruses as templates, and the NWs are assembled into semiconducting mesoporous networks with tunable structural properties. To understand the effects of different morphologies on the photovoltaic performance, the as-fabricated networks are employed as photoanodes in liquid-state dye-sensitized solar cells (DSCs). Compared with traditional nanoparticle-based photoanodes, the NW-based DSC photoanodes demonstrate much higher electron diffusion lengths while maintaining a comparable light harvesting capacity, thus leading to improved power conversion efficiencies. In addition, the NW-based semiconducting mesoporous thin films are able to load sufficient organolead iodide perovskite materials into the interconnected pores, and the perovskite-coated films are utilized as efficient photoanodes for solid-state organolead iodide perovskite hybrid solar cells and achieve power conversion efficiencies superior to those of liquid-state DSCs.

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 score0.006
Threshold uncertainty score0.608

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 head0.018
GPT teacher head0.222
Teacher spread0.204 · 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

Citations54
Published2015
Admission routes1
Has abstractyes

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