MétaCan
Menu
Back to cohort
Record W4412456892 · doi:10.1002/smll.202507240

Generative Synthesis of Highly Stable Perovskite Nanocrystals via Mesoporous Silica for Full‐Spectrum White LED

2025· article· en· W4412456892 on OpenAlexafffund
Jiaze Wu, Jianbin Xu, Yixuan Chen, Jyotiparna Banik, Naomi Matsuura, Kai Huang

Bibliographic record

VenueSmall · 2025
Typearticle
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaCanada First Research Excellence FundUniversity of Toronto
KeywordsNanoreactorMaterials sciencePerovskite (structure)NanocrystalMesoporous materialNanotechnologyFabricationHalideDopingNanomaterialsNanoparticleOptoelectronicsChemical engineeringCatalysisInorganic chemistryChemistry

Abstract

fetched live from OpenAlex

Abstract Perovskite nanocrystals with CsPbX 3 (X = Cl, Br, or I) structure have attracted great attention for developing optoelectronic applications in the past few years. However, their low stability and the limited scalability of current synthesis methods pose major challenges for future applications. Here, a template‐assisted strategy is reported for synthesizing CsPbCl 3 nanocrystals within mesoporous silica nanoreactors. Powder state CsPbCl 3 complex fabricated via this method demonstrated an exceptional solvent stability and allows for yttrium doping to further enhance optical performance. Halide tuning (Cl⁻ to Br⁻) and synthesis of lead‐free perovskites such as Cs 4 Bi 2 MnCl 12 enable broad spectral emission, supporting full‐spectrum white LED fabrication. This low‐cost, scalable, and reproducible method offers strong potential for advancing perovskite‐based optoelectronic technologies.

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 score0.109
Threshold uncertainty score0.709

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 head0.007
GPT teacher head0.206
Teacher spread0.199 · 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

Citations3
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueSmallSame topicPerovskite Materials and ApplicationsFrench-language works237,207