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Record W4387328929 · doi:10.1002/adma.202307077

3D‐Architected Alkaline‐Earth Perovskites

2023· article· en· W4387328929 on OpenAlexaff
Jędrzej Winczewski, Joel Arriaga‐Dávila, Manuel Herrera, Francisco Ruiz‐Zepeda, R. Margoth Córdova‐Castro, Camilo R. Pérez de la Vega, Clément Cabriel, Ignacio Izeddin, Han Gardeniers, Arturo Susarrey‐Arce

Bibliographic record

VenueAdvanced Materials · 2023
Typearticle
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsUniversity of Ottawa
FundersEuropean Research CouncilUniversity of TwenteEuropean CommissionUniversity of California Institute for Mexico and the United States
KeywordsMaterials scienceAlkaline earth metalPerovskite (structure)PhotoluminescenceCeramicCathodoluminescenceNanotechnologyOptoelectronicsChemical engineeringComposite materialMetalLuminescence

Abstract

fetched live from OpenAlex

Abstract 3D ceramic architectures are captivating geometrical features with an immense demand in optics. In this work, an additive manufacturing (AM) approach for printing alkaline‐earth perovskite 3D microarchitectures is developed. The approach enables custom‐made photoresists suited for two‐photon lithography, permitting the production of alkaline‐earth perovskite (BaZrO 3 , CaZrO 3 , and SrZrO 3 ) 3D structures shaped in the form of octet‐truss lattices, gyroids, or inspired architectures like sodalite zeolite, and C 60 buckyballs with micrometric and nanometric feature sizes. Alkaline‐earth perovskite morphological, structural, and chemical characteristics are studied. The optical properties of such perovskite architectures are investigated using cathodoluminescence and wide‐field photoluminescence emission to estimate the lifetime rate and defects in BaZrO 3 , CaZrO 3 , and SrZrO 3 . From a broad perspective, this AM methodology facilitates the production of 3D‐structured mixed oxides. These findings are the first steps toward dimensionally refined high‐refractive‐index ceramics for micro‐optics and other terrains like (photo/electro)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 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 score0.091
Threshold uncertainty score0.999

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)0.0010.002

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 head0.008
GPT teacher head0.230
Teacher spread0.221 · 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.

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

Citations17
Published2023
Admission routes1
Has abstractyes

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